---
_id: '57324'
abstract:
- lang: eng
text: Generating SPARQL queries is crucial for extracting relevant information from
diverse knowledge graphs. However, the structural and semantic differences among
these graphs necessitate training or fine-tuning a tailored model for each one.
In this paper, we propose UniQ-Gen, a unified query generation approach to generate
SPARQL queries across various knowledge graphs. UniQ-Gen integrates entity recognition,
disambiguation, and linking through a BERT-NER model and employs cross-encoder
ranking to align questions with the Freebase ontology. We conducted several experiments
on different benchmark datasets such as LC-QuAD 2.0, GrailQA, and QALD-10. The
evaluation results demonstrate that our approach achieves performance equivalent
to or better than models fine-tuned for individual knowledge graphs. This finding
suggests that fine-tuning a unified model on a heterogeneous dataset of SPARQL
queries across different knowledge graphs eliminates the need for separate models
for each graph, thereby reducing resource requirements.
author:
- first_name: Daniel
full_name: Vollmers, Daniel
last_name: Vollmers
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Vollmers D, Srivastava N, Zahera HMA, Moussallem D, Ngonga Ngomo A-C. UniQ-Gen:
Unified Query Generation Across Multiple Knowledge Graphs. In: Alam M, Rospocher
M, van Erp M, Hollink L, Gesese GA, eds. Knowledge Engineering and Knowledge
Management. Springer Nature Switzerland; 2025:174–189. doi:https://doi.org/10.1007/978-3-031-77792-9_11'
apa: 'Vollmers, D., Srivastava, N., Zahera, H. M. A., Moussallem, D., & Ngonga
Ngomo, A.-C. (2025). UniQ-Gen: Unified Query Generation Across Multiple Knowledge
Graphs. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, & G. A. Gesese (Eds.),
Knowledge Engineering and Knowledge Management (pp. 174–189). Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-77792-9_11'
bibtex: '@inproceedings{Vollmers_Srivastava_Zahera_Moussallem_Ngonga Ngomo_2025,
place={Cham}, title={UniQ-Gen: Unified Query Generation Across Multiple Knowledge
Graphs}, DOI={https://doi.org/10.1007/978-3-031-77792-9_11},
booktitle={Knowledge Engineering and Knowledge Management}, publisher={Springer
Nature Switzerland}, author={Vollmers, Daniel and Srivastava, Nikit and Zahera,
Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille},
editor={Alam, Mehwish and Rospocher, Marco and van Erp, Marieke and Hollink, Laura
and Gesese, Genet Asefa}, year={2025}, pages={174–189} }'
chicago: 'Vollmers, Daniel, Nikit Srivastava, Hamada Mohamed Abdelsamee Zahera,
Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “UniQ-Gen: Unified Query Generation
Across Multiple Knowledge Graphs.” In Knowledge Engineering and Knowledge Management,
edited by Mehwish Alam, Marco Rospocher, Marieke van Erp, Laura Hollink, and Genet
Asefa Gesese, 174–189. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77792-9_11.'
ieee: 'D. Vollmers, N. Srivastava, H. M. A. Zahera, D. Moussallem, and A.-C. Ngonga
Ngomo, “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs,”
in Knowledge Engineering and Knowledge Management, 2025, pp. 174–189, doi:
https://doi.org/10.1007/978-3-031-77792-9_11.'
mla: 'Vollmers, Daniel, et al. “UniQ-Gen: Unified Query Generation Across Multiple
Knowledge Graphs.” Knowledge Engineering and Knowledge Management, edited
by Mehwish Alam et al., Springer Nature Switzerland, 2025, pp. 174–189, doi:https://doi.org/10.1007/978-3-031-77792-9_11.'
short: 'D. Vollmers, N. Srivastava, H.M.A. Zahera, D. Moussallem, A.-C. Ngonga Ngomo,
in: M. Alam, M. Rospocher, M. van Erp, L. Hollink, G.A. Gesese (Eds.), Knowledge
Engineering and Knowledge Management, Springer Nature Switzerland, Cham, 2025,
pp. 174–189.'
date_created: 2024-11-22T12:56:54Z
date_updated: 2024-11-22T12:58:59Z
doi: https://doi.org/10.1007/978-3-031-77792-9_11
editor:
- first_name: Mehwish
full_name: Alam, Mehwish
last_name: Alam
- first_name: Marco
full_name: Rospocher, Marco
last_name: Rospocher
- first_name: Marieke
full_name: van Erp, Marieke
last_name: van Erp
- first_name: Laura
full_name: Hollink, Laura
last_name: Hollink
- first_name: Genet Asefa
full_name: Gesese, Genet Asefa
last_name: Gesese
language:
- iso: eng
page: 174–189
place: Cham
publication: Knowledge Engineering and Knowledge Management
publication_identifier:
isbn:
- 978-3-031-77792-9
publisher: Springer Nature Switzerland
status: public
title: 'UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs'
type: conference
user_id: '70066'
year: '2025'
...
---
_id: '59054'
author:
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Firmansyah AF, Zahera HMA, Sherif M, Moussallem D, Ngonga Ngomo A-C. ANTS:
Abstractive Entity Summarization in Knowledge Graphs. In: ESWC2025. The
Semantic Web. pringer Nature Switzerland; 2025:133--151. doi:10.1007/978-3-031-94575-5_8'
apa: 'Firmansyah, A. F., Zahera, H. M. A., Sherif, M., Moussallem, D., & Ngonga
Ngomo, A.-C. (2025). ANTS: Abstractive Entity Summarization in Knowledge Graphs.
ESWC2025, 133--151. https://doi.org/10.1007/978-3-031-94575-5_8'
bibtex: '@inproceedings{Firmansyah_Zahera_Sherif_Moussallem_Ngonga Ngomo_2025, series={The
Semantic Web}, title={ANTS: Abstractive Entity Summarization in Knowledge Graphs},
DOI={10.1007/978-3-031-94575-5_8},
booktitle={ESWC2025}, publisher={pringer Nature Switzerland}, author={Firmansyah,
Asep Fajar and Zahera, Hamada Mohamed Abdelsamee and Sherif, Mohamed and Moussallem,
Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={133--151}, collection={The
Semantic Web} }'
chicago: 'Firmansyah, Asep Fajar, Hamada Mohamed Abdelsamee Zahera, Mohamed Sherif,
Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “ANTS: Abstractive Entity Summarization
in Knowledge Graphs.” In ESWC2025, 133--151. The Semantic Web. pringer
Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94575-5_8.'
ieee: 'A. F. Firmansyah, H. M. A. Zahera, M. Sherif, D. Moussallem, and A.-C. Ngonga
Ngomo, “ANTS: Abstractive Entity Summarization in Knowledge Graphs,” in ESWC2025,
2025, pp. 133--151, doi: 10.1007/978-3-031-94575-5_8.'
mla: 'Firmansyah, Asep Fajar, et al. “ANTS: Abstractive Entity Summarization in
Knowledge Graphs.” ESWC2025, pringer Nature Switzerland, 2025, pp. 133--151,
doi:10.1007/978-3-031-94575-5_8.'
short: 'A.F. Firmansyah, H.M.A. Zahera, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo,
in: ESWC2025, pringer Nature Switzerland, 2025, pp. 133--151.'
conference:
name: ESWC 2025
date_created: 2025-03-17T13:41:48Z
date_updated: 2025-09-11T10:00:44Z
department:
- _id: '574'
doi: 10.1007/978-3-031-94575-5_8
keyword:
- firmansyah mousallem ngonga sherif zahera
language:
- iso: eng
page: 133--151
publication: ESWC2025
publication_identifier:
isbn:
- 978-3-031-94575-5
publication_status: published
publisher: pringer Nature Switzerland
series_title: The Semantic Web
status: public
title: 'ANTS: Abstractive Entity Summarization in Knowledge Graphs'
type: conference
user_id: '67234'
year: '2025'
...
---
_id: '61134'
author:
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
orcid: https://orcid.org/0000-0001-8403-5160
- first_name: René
full_name: Speck, René
id: '70843'
last_name: Speck
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Manzoor A, Speck R, Zahera HMA, Saleem M, Moussallem D, Ngonga Ngomo A-C. Multilingual
Relation Extraction - A Survey. IEEE Access. Published online 2025:1-1.
doi:10.1109/access.2025.3604258
apa: Manzoor, A., Speck, R., Zahera, H. M. A., Saleem, M., Moussallem, D., &
Ngonga Ngomo, A.-C. (2025). Multilingual Relation Extraction - A Survey. IEEE
Access, 1–1. https://doi.org/10.1109/access.2025.3604258
bibtex: '@article{Manzoor_Speck_Zahera_Saleem_Moussallem_Ngonga Ngomo_2025, title={Multilingual
Relation Extraction - A Survey}, DOI={10.1109/access.2025.3604258},
journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers
(IEEE)}, author={Manzoor, Ali and Speck, René and Zahera, Hamada Mohamed Abdelsamee
and Saleem, Muhammad and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025},
pages={1–1} }'
chicago: Manzoor, Ali, René Speck, Hamada Mohamed Abdelsamee Zahera, Muhammad Saleem,
Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Multilingual Relation Extraction
- A Survey.” IEEE Access, 2025, 1–1. https://doi.org/10.1109/access.2025.3604258.
ieee: 'A. Manzoor, R. Speck, H. M. A. Zahera, M. Saleem, D. Moussallem, and A.-C.
Ngonga Ngomo, “Multilingual Relation Extraction - A Survey,” IEEE Access,
pp. 1–1, 2025, doi: 10.1109/access.2025.3604258.'
mla: Manzoor, Ali, et al. “Multilingual Relation Extraction - A Survey.” IEEE
Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp.
1–1, doi:10.1109/access.2025.3604258.
short: A. Manzoor, R. Speck, H.M.A. Zahera, M. Saleem, D. Moussallem, A.-C. Ngonga
Ngomo, IEEE Access (2025) 1–1.
date_created: 2025-09-04T13:32:08Z
date_updated: 2025-09-11T11:14:27Z
department:
- _id: '574'
doi: 10.1109/access.2025.3604258
language:
- iso: eng
page: 1-1
publication: IEEE Access
publication_identifier:
issn:
- 2169-3536
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Multilingual Relation Extraction - A Survey
type: journal_article
user_id: '77309'
year: '2025'
...
---
_id: '61753'
abstract:
- lang: eng
text: This paper presents LOLA, a massively multilingual large language model trained
on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture.
Our architectural and implementation choices address the challenge of harnessing
linguistic diversity while maintaining efficiency and avoiding the common pitfalls
of multilinguality. Our analysis of the evaluation results shows competitive performance
in natural language generation and understanding tasks. Additionally, we demonstrate
how the learned expert-routing mechanism exploits implicit phylogenetic linguistic
patterns to potentially alleviate the curse of multilinguality. We provide an
in-depth look at the training process, an analysis of the datasets, and a balanced
exploration of the model{’}s strengths and limitations. As an open-source model,
LOLA promotes reproducibility and serves as a robust foundation for future research.
Our findings enable the development of compute-efficient multilingual models with
strong, scalable performance across languages.
author:
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Denis
full_name: Kuchelev, Denis
id: '70842'
last_name: Kuchelev
- first_name: Tatiana
full_name: Moteu Ngoli, Tatiana
id: '99174'
last_name: Moteu Ngoli
- first_name: Kshitij
full_name: Shetty, Kshitij
last_name: Shetty
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Srivastava N, Kuchelev D, Moteu Ngoli T, et al. LOLA – An Open-Source Massively
Multilingual Large Language Model. In: Rambow O, Wanner L, Apidianaki M, Al-Khalifa
H, Eugenio BD, Schockaert S, eds. Proceedings of the 31st International Conference
on Computational Linguistics. Association for Computational Linguistics; 2025:6420–6446.'
apa: Srivastava, N., Kuchelev, D., Moteu Ngoli, T., Shetty, K., Röder, M., Zahera,
H. M. A., Moussallem, D., & Ngonga Ngomo, A.-C. (2025). LOLA – An Open-Source
Massively Multilingual Large Language Model. In O. Rambow, L. Wanner, M. Apidianaki,
H. Al-Khalifa, B. D. Eugenio, & S. Schockaert (Eds.), Proceedings of the
31st International Conference on Computational Linguistics (pp. 6420–6446).
Association for Computational Linguistics.
bibtex: '@inproceedings{Srivastava_Kuchelev_Moteu Ngoli_Shetty_Röder_Zahera_Moussallem_Ngonga
Ngomo_2025, place={Abu Dhabi, UAE}, title={LOLA – An Open-Source Massively Multilingual
Large Language Model}, booktitle={Proceedings of the 31st International Conference
on Computational Linguistics}, publisher={Association for Computational Linguistics},
author={Srivastava, Nikit and Kuchelev, Denis and Moteu Ngoli, Tatiana and Shetty,
Kshitij and Röder, Michael and Zahera, Hamada Mohamed Abdelsamee and Moussallem,
Diego and Ngonga Ngomo, Axel-Cyrille}, editor={Rambow, Owen and Wanner, Leo and
Apidianaki, Marianna and Al-Khalifa, Hend and Eugenio, Barbara Di and Schockaert,
Steven}, year={2025}, pages={6420–6446} }'
chicago: 'Srivastava, Nikit, Denis Kuchelev, Tatiana Moteu Ngoli, Kshitij Shetty,
Michael Röder, Hamada Mohamed Abdelsamee Zahera, Diego Moussallem, and Axel-Cyrille
Ngonga Ngomo. “LOLA – An Open-Source Massively Multilingual Large Language Model.”
In Proceedings of the 31st International Conference on Computational Linguistics,
edited by Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara
Di Eugenio, and Steven Schockaert, 6420–6446. Abu Dhabi, UAE: Association for
Computational Linguistics, 2025.'
ieee: N. Srivastava et al., “LOLA – An Open-Source Massively Multilingual
Large Language Model,” in Proceedings of the 31st International Conference
on Computational Linguistics, 2025, pp. 6420–6446.
mla: Srivastava, Nikit, et al. “LOLA – An Open-Source Massively Multilingual Large
Language Model.” Proceedings of the 31st International Conference on Computational
Linguistics, edited by Owen Rambow et al., Association for Computational Linguistics,
2025, pp. 6420–6446.
short: 'N. Srivastava, D. Kuchelev, T. Moteu Ngoli, K. Shetty, M. Röder, H.M.A.
Zahera, D. Moussallem, A.-C. Ngonga Ngomo, in: O. Rambow, L. Wanner, M. Apidianaki,
H. Al-Khalifa, B.D. Eugenio, S. Schockaert (Eds.), Proceedings of the 31st International
Conference on Computational Linguistics, Association for Computational Linguistics,
Abu Dhabi, UAE, 2025, pp. 6420–6446.'
date_created: 2025-10-08T11:02:30Z
date_updated: 2026-01-06T10:11:37Z
editor:
- first_name: Owen
full_name: Rambow, Owen
last_name: Rambow
- first_name: Leo
full_name: Wanner, Leo
last_name: Wanner
- first_name: Marianna
full_name: Apidianaki, Marianna
last_name: Apidianaki
- first_name: Hend
full_name: Al-Khalifa, Hend
last_name: Al-Khalifa
- first_name: Barbara Di
full_name: Eugenio, Barbara Di
last_name: Eugenio
- first_name: Steven
full_name: Schockaert, Steven
last_name: Schockaert
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2025.coling-main.428.pdf
oa: '1'
page: 6420–6446
place: Abu Dhabi, UAE
publication: Proceedings of the 31st International Conference on Computational Linguistics
publisher: Association for Computational Linguistics
status: public
title: LOLA – An Open-Source Massively Multilingual Large Language Model
type: conference
user_id: '70066'
year: '2025'
...
---
_id: '54412'
author:
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. ESLM: Improving Entity Summarization
by Leveraging Language Models. In: The Semantic Web. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-60626-7_9'
apa: 'Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2024). ESLM:
Improving Entity Summarization by Leveraging Language Models. In The Semantic
Web. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60626-7_9'
bibtex: '@inbook{Firmansyah_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={ESLM:
Improving Entity Summarization by Leveraging Language Models}, DOI={10.1007/978-3-031-60626-7_9},
booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Firmansyah,
Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024}
}'
chicago: 'Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo.
“ESLM: Improving Entity Summarization by Leveraging Language Models.” In The
Semantic Web. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-60626-7_9.'
ieee: 'A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “ESLM: Improving
Entity Summarization by Leveraging Language Models,” in The Semantic Web,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Firmansyah, Asep Fajar, et al. “ESLM: Improving Entity Summarization by Leveraging
Language Models.” The Semantic Web, Springer Nature Switzerland, 2024,
doi:10.1007/978-3-031-60626-7_9.'
short: 'A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: The Semantic Web,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-05-22T09:00:03Z
date_updated: 2024-06-04T11:09:23Z
department:
- _id: '574'
- _id: '34'
doi: 10.1007/978-3-031-60626-7_9
language:
- iso: eng
place: Cham
publication: The Semantic Web
publication_identifier:
isbn:
- '9783031606250'
- '9783031606267'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'ESLM: Improving Entity Summarization by Leveraging Language Models'
type: book_chapter
user_id: '76787'
year: '2024'
...
---
_id: '55095'
author:
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
- first_name: Muhammad
full_name: Sohail Nisar, Muhammad
last_name: Sohail Nisar
- first_name: Saleem
full_name: Muhammad, Saleem
last_name: Muhammad
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Manzoor A, Sohail Nisar M, Muhammad S, Moussallem D, Ngonga Ngomo A-C. Enhancing
Relation Extraction Through Augmented Data: Large Language Models Unleashed. In:
NLDB24. Springer International Publishing; 2024.'
apa: 'Manzoor, A., Sohail Nisar, M., Muhammad, S., Moussallem, D., & Ngonga
Ngomo, A.-C. (2024). Enhancing Relation Extraction Through Augmented Data: Large
Language Models Unleashed. NLDB24.'
bibtex: '@inproceedings{Manzoor_Sohail Nisar_Muhammad_Moussallem_Ngonga Ngomo_2024,
title={Enhancing Relation Extraction Through Augmented Data: Large Language Models
Unleashed}, booktitle={NLDB24}, publisher={Springer International Publishing},
author={Manzoor, Ali and Sohail Nisar, Muhammad and Muhammad, Saleem and Moussallem,
Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
chicago: 'Manzoor, Ali, Muhammad Sohail Nisar, Saleem Muhammad, Diego Moussallem,
and Axel-Cyrille Ngonga Ngomo. “Enhancing Relation Extraction Through Augmented
Data: Large Language Models Unleashed.” In NLDB24. Springer International
Publishing, 2024.'
ieee: 'A. Manzoor, M. Sohail Nisar, S. Muhammad, D. Moussallem, and A.-C. Ngonga
Ngomo, “Enhancing Relation Extraction Through Augmented Data: Large Language Models
Unleashed,” 2024.'
mla: 'Manzoor, Ali, et al. “Enhancing Relation Extraction Through Augmented Data:
Large Language Models Unleashed.” NLDB24, Springer International Publishing,
2024.'
short: 'A. Manzoor, M. Sohail Nisar, S. Muhammad, D. Moussallem, A.-C. Ngonga Ngomo,
in: NLDB24, Springer International Publishing, 2024.'
date_created: 2024-07-05T14:12:47Z
date_updated: 2024-07-05T14:14:28Z
keyword:
- Nisar SFB-TRR Saleem climate_bOWL colide dice enexa kiam manzoor moussallem ngonga
language:
- iso: eng
publication: NLDB24
publisher: Springer International Publishing
status: public
title: 'Enhancing Relation Extraction Through Augmented Data: Large Language Models
Unleashed'
type: conference
user_id: '77309'
year: '2024'
...
---
_id: '56214'
author:
- first_name: Jiayi
full_name: Li, Jiayi
last_name: Li
- first_name: Sheetal
full_name: Satheesh, Sheetal
last_name: Satheesh
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: René
full_name: Speck, René
id: '70843'
last_name: Speck
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Li J, Satheesh S, Heindorf S, Moussallem D, Speck R, Ngonga Ngomo A-C. AutoCL:
AutoML for Concept Learning. In: Communications in Computer and Information
Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-63787-2_7'
apa: 'Li, J., Satheesh, S., Heindorf, S., Moussallem, D., Speck, R., & Ngonga
Ngomo, A.-C. (2024). AutoCL: AutoML for Concept Learning. In Communications
in Computer and Information Science. The 2nd World Conference on eXplainable
Artificial Intelligence, Malta, Valletta. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-63787-2_7'
bibtex: '@inbook{Li_Satheesh_Heindorf_Moussallem_Speck_Ngonga Ngomo_2024, place={Cham},
title={AutoCL: AutoML for Concept Learning}, DOI={10.1007/978-3-031-63787-2_7},
booktitle={Communications in Computer and Information Science}, publisher={Springer
Nature Switzerland}, author={Li, Jiayi and Satheesh, Sheetal and Heindorf, Stefan
and Moussallem, Diego and Speck, René and Ngonga Ngomo, Axel-Cyrille}, year={2024}
}'
chicago: 'Li, Jiayi, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck,
and Axel-Cyrille Ngonga Ngomo. “AutoCL: AutoML for Concept Learning.” In Communications
in Computer and Information Science. Cham: Springer Nature Switzerland, 2024.
https://doi.org/10.1007/978-3-031-63787-2_7.'
ieee: 'J. Li, S. Satheesh, S. Heindorf, D. Moussallem, R. Speck, and A.-C. Ngonga
Ngomo, “AutoCL: AutoML for Concept Learning,” in Communications in Computer
and Information Science, Cham: Springer Nature Switzerland, 2024.'
mla: 'Li, Jiayi, et al. “AutoCL: AutoML for Concept Learning.” Communications
in Computer and Information Science, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-63787-2_7.'
short: 'J. Li, S. Satheesh, S. Heindorf, D. Moussallem, R. Speck, A.-C. Ngonga Ngomo,
in: Communications in Computer and Information Science, Springer Nature Switzerland,
Cham, 2024.'
conference:
end_date: 2024-07-19
location: Malta, Valletta
name: The 2nd World Conference on eXplainable Artificial Intelligence
start_date: 2024-07-17
date_created: 2024-09-23T12:31:23Z
date_updated: 2024-09-23T12:36:17Z
department:
- _id: '760'
- _id: '574'
doi: 10.1007/978-3-031-63787-2_7
language:
- iso: eng
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783031637865'
- '9783031637872'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'AutoCL: AutoML for Concept Learning'
type: book_chapter
user_id: '11871'
year: '2024'
...
---
_id: '56581'
abstract:
- lang: eng
text: 'In recent years, there has been a surge in natural language processing research
focused on low-resource languages (LrLs), underscoring the growing recognition
that LrLs deserve the same attention as high-resource languages (HrLs). This shift
is crucial for ensuring linguistic diversity and inclusivity in the digital age.
Despite Indonesian ranking as the 11th most spoken language globally, it remains
under-resourced in terms of computational tools and datasets. Within the semantic
web domain, Entity Linking (EL) is pivotal, linking textual entity mentions to
their corresponding entries in knowledge bases. This process is foundational for
advanced information extraction tasks, including relation extraction and event
detection. To bolster EL research in Indonesian, we introduce IndEL, the first
benchmark dataset tailored for both general and specific domains. IndEL was manually
curated using Wikidata, adhering to a rigorous set of annotation guidelines. We
used two Named Entity Recognition (NER) benchmark datasets for entity extraction:
NER UI for the general domain and IndQNER for the specific domain. IndQNER focused
on entities from the Indonesian translation of the Quran. IndEL comprises 4765
entities in the general domain and 2453 in the specific domain. Using the GERBIL
framework, we use IndEL to evaluate the performance of various EL systems, such
as Babelfy, DBpedia Spotlight, MAG, OpenTapioca, and WAT. Our further investigation
reveals that within Wikidata, a significant number of NIL entities remain unlinked
due to the limited number of Indonesian labels and the use of acronyms. Especially
in the specific domain, transliteration and translation processes performed to
create the Indonesian translation of the Quran contribute to the presence of entities
in a descriptive form and as synonyms.'
author:
- first_name: Ria Hari
full_name: Gusmita, Ria Hari
id: '71039'
last_name: Gusmita
- first_name: Muhammad Faruq Amiral
full_name: Abshar, Muhammad Faruq Amiral
last_name: Abshar
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Gusmita RH, Abshar MFA, Moussallem D, Ngonga Ngomo A-C. IndEL: Indonesian
Entity Linking Benchmark Dataset for General and Specific Domains. In: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-70239-6_34'
apa: 'Gusmita, R. H., Abshar, M. F. A., Moussallem, D., & Ngonga Ngomo, A.-C.
(2024). IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific
Domains. In Lecture Notes in Computer Science. The 29th Annual International
Conference on Natural Language & Information Systems (NLDB 2024), Turin, Italy.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70239-6_34'
bibtex: '@inbook{Gusmita_Abshar_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={IndEL:
Indonesian Entity Linking Benchmark Dataset for General and Specific Domains},
DOI={10.1007/978-3-031-70239-6_34},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Gusmita, Ria Hari and Abshar, Muhammad Faruq Amiral and Moussallem, Diego
and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
chicago: 'Gusmita, Ria Hari, Muhammad Faruq Amiral Abshar, Diego Moussallem, and
Axel-Cyrille Ngonga Ngomo. “IndEL: Indonesian Entity Linking Benchmark Dataset
for General and Specific Domains.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70239-6_34.'
ieee: 'R. H. Gusmita, M. F. A. Abshar, D. Moussallem, and A.-C. Ngonga Ngomo, “IndEL:
Indonesian Entity Linking Benchmark Dataset for General and Specific Domains,”
in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland,
2024.'
mla: 'Gusmita, Ria Hari, et al. “IndEL: Indonesian Entity Linking Benchmark Dataset
for General and Specific Domains.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-70239-6_34.'
short: 'R.H. Gusmita, M.F.A. Abshar, D. Moussallem, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
conference:
end_date: 2024-06-27
location: Turin, Italy
name: The 29th Annual International Conference on Natural Language & Information
Systems (NLDB 2024)
start_date: 2024-06-25
date_created: 2024-10-10T14:29:08Z
date_updated: 2024-10-14T19:22:16Z
doi: 10.1007/978-3-031-70239-6_34
keyword:
- entity linking benchmark dataset
- Indonesian
- general and specific domains
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031702389'
- '9783031702396'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-3-031-70239-6_34
status: public
title: 'IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific
Domains'
type: book_chapter
user_id: '71039'
year: '2024'
...
---
_id: '57277'
author:
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Mengshi
full_name: Ma, Mengshi
last_name: Ma
- first_name: Daniel
full_name: Vollmers, Daniel
last_name: Vollmers
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Srivastava N, Ma M, Vollmers D, Zahera HMA, Moussallem D, Ngonga Ngomo A-C.
MST5 -- Multilingual Question Answering over Knowledge Graphs. Published online
2024.
apa: Srivastava, N., Ma, M., Vollmers, D., Zahera, H. M. A., Moussallem, D., &
Ngonga Ngomo, A.-C. (2024). MST5 -- Multilingual Question Answering over Knowledge
Graphs.
bibtex: '@article{Srivastava_Ma_Vollmers_Zahera_Moussallem_Ngonga Ngomo_2024, title={MST5
-- Multilingual Question Answering over Knowledge Graphs}, author={Srivastava,
Nikit and Ma, Mengshi and Vollmers, Daniel and Zahera, Hamada Mohamed Abdelsamee
and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
chicago: Srivastava, Nikit, Mengshi Ma, Daniel Vollmers, Hamada Mohamed Abdelsamee
Zahera, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “MST5 -- Multilingual
Question Answering over Knowledge Graphs,” 2024.
ieee: N. Srivastava, M. Ma, D. Vollmers, H. M. A. Zahera, D. Moussallem, and A.-C.
Ngonga Ngomo, “MST5 -- Multilingual Question Answering over Knowledge Graphs.”
2024.
mla: Srivastava, Nikit, et al. MST5 -- Multilingual Question Answering over Knowledge
Graphs. 2024.
short: N. Srivastava, M. Ma, D. Vollmers, H.M.A. Zahera, D. Moussallem, A.-C. Ngonga
Ngomo, (2024).
date_created: 2024-11-20T10:40:50Z
date_updated: 2024-11-20T10:57:42Z
language:
- iso: eng
status: public
title: MST5 -- Multilingual Question Answering over Knowledge Graphs
type: preprint
user_id: '70066'
year: '2024'
...
---
_id: '55094'
author:
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
orcid: https://orcid.org/0000-0001-8403-5160
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Zahera HMA, Manzoor A, Sherif M, Moussallem D, Ngonga Ngomo A-C. Generating
SPARQL from Natural Language Using Chain-of-Thoughts Prompting. In: SEMANTiCS.
; 2024.'
apa: Zahera, H. M. A., Manzoor, A., Sherif, M., Moussallem, D., & Ngonga Ngomo,
A.-C. (2024). Generating SPARQL from Natural Language Using Chain-of-Thoughts
Prompting. SEMANTiCS.
bibtex: '@inproceedings{Zahera_Manzoor_Sherif_Moussallem_Ngonga Ngomo_2024, place={Amsterdam,
Netherlands}, title={Generating SPARQL from Natural Language Using Chain-of-Thoughts
Prompting}, booktitle={SEMANTiCS}, author={Zahera, Hamada Mohamed Abdelsamee and
Manzoor, Ali and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille},
year={2024} }'
chicago: Zahera, Hamada Mohamed Abdelsamee, Ali Manzoor, Mohamed Sherif, Diego Moussallem,
and Axel-Cyrille Ngonga Ngomo. “Generating SPARQL from Natural Language Using
Chain-of-Thoughts Prompting.” In SEMANTiCS. Amsterdam, Netherlands, 2024.
ieee: H. M. A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo,
“Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting,” 2024.
mla: Zahera, Hamada Mohamed Abdelsamee, et al. “Generating SPARQL from Natural Language
Using Chain-of-Thoughts Prompting.” SEMANTiCS, 2024.
short: 'H.M.A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo,
in: SEMANTiCS, Amsterdam, Netherlands, 2024.'
date_created: 2024-07-05T13:59:24Z
date_updated: 2025-09-11T10:37:39Z
department:
- _id: '574'
keyword:
- TRR318 climatebowl colide dice enexa kiam manzoor moussallem ngonga sailproject
sherif simba zahera
language:
- iso: eng
place: Amsterdam, Netherlands
publication: SEMANTiCS
status: public
title: Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting
type: conference
user_id: '67234'
year: '2024'
...
---
_id: '57278'
author:
- first_name: Ana Alexandra
full_name: Morim da Silva, Ana Alexandra
id: '72108'
last_name: Morim da Silva
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Tatiana
full_name: Moteu Ngoli, Tatiana
id: '99174'
last_name: Moteu Ngoli
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Morim da Silva AA, Srivastava N, Moteu Ngoli T, Röder M, Moussallem D, Ngonga
Ngomo A-C. Benchmarking Low-Resource Machine Translation Systems. In: Proceedings
of the Seventh Workshop on Technologies for Machine Translation of Low-Resource
Languages (LoResMT 2024). Association for Computational Linguistics; 2024.
doi:10.18653/v1/2024.loresmt-1.18'
apa: Morim da Silva, A. A., Srivastava, N., Moteu Ngoli, T., Röder, M., Moussallem,
D., & Ngonga Ngomo, A.-C. (2024). Benchmarking Low-Resource Machine Translation
Systems. Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024). https://doi.org/10.18653/v1/2024.loresmt-1.18
bibtex: '@inproceedings{Morim da Silva_Srivastava_Moteu Ngoli_Röder_Moussallem_Ngonga
Ngomo_2024, title={Benchmarking Low-Resource Machine Translation Systems}, DOI={10.18653/v1/2024.loresmt-1.18},
booktitle={Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024)}, publisher={Association for Computational
Linguistics}, author={Morim da Silva, Ana Alexandra and Srivastava, Nikit and
Moteu Ngoli, Tatiana and Röder, Michael and Moussallem, Diego and Ngonga Ngomo,
Axel-Cyrille}, year={2024} }'
chicago: Morim da Silva, Ana Alexandra, Nikit Srivastava, Tatiana Moteu Ngoli, Michael
Röder, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Benchmarking Low-Resource
Machine Translation Systems.” In Proceedings of the Seventh Workshop on Technologies
for Machine Translation of Low-Resource Languages (LoResMT 2024). Association
for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.loresmt-1.18.
ieee: 'A. A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem,
and A.-C. Ngonga Ngomo, “Benchmarking Low-Resource Machine Translation Systems,”
2024, doi: 10.18653/v1/2024.loresmt-1.18.'
mla: Morim da Silva, Ana Alexandra, et al. “Benchmarking Low-Resource Machine Translation
Systems.” Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024), Association for Computational Linguistics,
2024, doi:10.18653/v1/2024.loresmt-1.18.
short: 'A.A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem,
A.-C. Ngonga Ngomo, in: Proceedings of the Seventh Workshop on Technologies for
Machine Translation of Low-Resource Languages (LoResMT 2024), Association for
Computational Linguistics, 2024.'
date_created: 2024-11-20T10:41:16Z
date_updated: 2025-12-02T19:29:53Z
doi: 10.18653/v1/2024.loresmt-1.18
language:
- iso: eng
publication: Proceedings of the Seventh Workshop on Technologies for Machine Translation
of Low-Resource Languages (LoResMT 2024)
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: Benchmarking Low-Resource Machine Translation Systems
type: conference
user_id: '70066'
year: '2024'
...
---
_id: '46516'
abstract:
- lang: eng
text: Linked knowledge graphs build the backbone of many data-driven applications
such as search engines, conversational agents and e-commerce solutions. Declarative
link discovery frameworks use complex link specifications to express the conditions
under which a link between two resources can be deemed to exist. However, understanding
such complex link specifications is a challenging task for non-expert users of
link discovery frameworks. In this paper, we address this drawback by devising
NMV-LS, a language model-based verbalization approach for translating complex
link specifications into natural language. NMV-LS relies on the results of rule-based
link specification verbalization to apply continuous training on T5, a large language
model based on the Transformerarchitecture. We evaluated NMV-LS on English and
German datasets using well-known machine translation metrics such as BLUE, METEOR,
ChrF++ and TER. Our results suggest that our approach achieves a verbalization
performance close to that of humans and outperforms state of the art approaches.
Our source code and datasets are publicly available at https://github.com/dice-group/NMV-LS.
author:
- first_name: Abdullah Fathi Ahmed
full_name: Ahmed, Abdullah Fathi Ahmed
id: '29670'
last_name: Ahmed
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Ahmed AFA, Firmansyah AF, Sherif M, Moussallem D, Ngonga Ngomo A-C. Explainable
Integration of Knowledge Graphs Using Large Language Models. In: Natural Language
Processing and Information Systems. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-35320-8_9'
apa: Ahmed, A. F. A., Firmansyah, A. F., Sherif, M., Moussallem, D., & Ngonga
Ngomo, A.-C. (2023). Explainable Integration of Knowledge Graphs Using Large Language
Models. In Natural Language Processing and Information Systems. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_9
bibtex: '@inbook{Ahmed_Firmansyah_Sherif_Moussallem_Ngonga Ngomo_2023, place={Cham},
title={Explainable Integration of Knowledge Graphs Using Large Language Models},
DOI={10.1007/978-3-031-35320-8_9},
booktitle={Natural Language Processing and Information Systems}, publisher={Springer
Nature Switzerland}, author={Ahmed, Abdullah Fathi Ahmed and Firmansyah, Asep
Fajar and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille},
year={2023} }'
chicago: 'Ahmed, Abdullah Fathi Ahmed, Asep Fajar Firmansyah, Mohamed Sherif, Diego
Moussallem, and Axel-Cyrille Ngonga Ngomo. “Explainable Integration of Knowledge
Graphs Using Large Language Models.” In Natural Language Processing and Information
Systems. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-35320-8_9.'
ieee: 'A. F. A. Ahmed, A. F. Firmansyah, M. Sherif, D. Moussallem, and A.-C. Ngonga
Ngomo, “Explainable Integration of Knowledge Graphs Using Large Language Models,”
in Natural Language Processing and Information Systems, Cham: Springer
Nature Switzerland, 2023.'
mla: Ahmed, Abdullah Fathi Ahmed, et al. “Explainable Integration of Knowledge Graphs
Using Large Language Models.” Natural Language Processing and Information Systems,
Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35320-8_9.
short: 'A.F.A. Ahmed, A.F. Firmansyah, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo,
in: Natural Language Processing and Information Systems, Springer Nature Switzerland,
Cham, 2023.'
date_created: 2023-08-16T08:57:11Z
date_updated: 2024-06-04T12:23:45Z
department:
- _id: '34'
- _id: '574'
doi: 10.1007/978-3-031-35320-8_9
language:
- iso: eng
place: Cham
publication: Natural Language Processing and Information Systems
publication_identifier:
isbn:
- '9783031353192'
- '9783031353208'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Explainable Integration of Knowledge Graphs Using Large Language Models
type: book_chapter
user_id: '76787'
year: '2023'
...
---
_id: '54614'
author:
- first_name: Nikit
full_name: Srivastava, Nikit
last_name: Srivastava
- first_name: Aleksandr
full_name: Perevalov, Aleksandr
id: '94275'
last_name: Perevalov
- first_name: Denis
full_name: Kuchelev, Denis
id: '70842'
last_name: Kuchelev
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Andreas
full_name: Both, Andreas
last_name: Both
citation:
ama: 'Srivastava N, Perevalov A, Kuchelev D, Moussallem D, Ngonga Ngomo A-C, Both
A. Lingua Franca - Entity-Aware Machine Translation Approach for Question Answering
over Knowledge Graphs. In: Venable KB, Garijo D, Jalaian B, eds. Proceedings
of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA,
December 5-7, 2023. ACM; 2023:122–130. doi:10.1145/3587259.3627567'
apa: Srivastava, N., Perevalov, A., Kuchelev, D., Moussallem, D., Ngonga Ngomo,
A.-C., & Both, A. (2023). Lingua Franca - Entity-Aware Machine Translation
Approach for Question Answering over Knowledge Graphs. In K. B. Venable, D. Garijo,
& B. Jalaian (Eds.), Proceedings of the 12th Knowledge Capture Conference
2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023 (pp. 122–130).
ACM. https://doi.org/10.1145/3587259.3627567
bibtex: '@inproceedings{Srivastava_Perevalov_Kuchelev_Moussallem_Ngonga Ngomo_Both_2023,
title={Lingua Franca - Entity-Aware Machine Translation Approach for Question
Answering over Knowledge Graphs}, DOI={10.1145/3587259.3627567},
booktitle={Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP}
2023, Pensacola, FL, USA, December 5-7, 2023}, publisher={ACM}, author={Srivastava,
Nikit and Perevalov, Aleksandr and Kuchelev, Denis and Moussallem, Diego and Ngonga
Ngomo, Axel-Cyrille and Both, Andreas}, editor={Venable, Kristen Brent and Garijo,
Daniel and Jalaian, Brian}, year={2023}, pages={122–130} }'
chicago: Srivastava, Nikit, Aleksandr Perevalov, Denis Kuchelev, Diego Moussallem,
Axel-Cyrille Ngonga Ngomo, and Andreas Both. “Lingua Franca - Entity-Aware Machine
Translation Approach for Question Answering over Knowledge Graphs.” In Proceedings
of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA,
December 5-7, 2023, edited by Kristen Brent Venable, Daniel Garijo, and Brian
Jalaian, 122–130. ACM, 2023. https://doi.org/10.1145/3587259.3627567.
ieee: 'N. Srivastava, A. Perevalov, D. Kuchelev, D. Moussallem, A.-C. Ngonga Ngomo,
and A. Both, “Lingua Franca - Entity-Aware Machine Translation Approach for Question
Answering over Knowledge Graphs,” in Proceedings of the 12th Knowledge Capture
Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023, 2023,
pp. 122–130, doi: 10.1145/3587259.3627567.'
mla: Srivastava, Nikit, et al. “Lingua Franca - Entity-Aware Machine Translation
Approach for Question Answering over Knowledge Graphs.” Proceedings of the
12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December
5-7, 2023, edited by Kristen Brent Venable et al., ACM, 2023, pp. 122–130,
doi:10.1145/3587259.3627567.
short: 'N. Srivastava, A. Perevalov, D. Kuchelev, D. Moussallem, A.-C. Ngonga Ngomo,
A. Both, in: K.B. Venable, D. Garijo, B. Jalaian (Eds.), Proceedings of the 12th
Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December
5-7, 2023, ACM, 2023, pp. 122–130.'
date_created: 2024-06-04T15:57:41Z
date_updated: 2024-06-04T15:58:16Z
department:
- _id: '574'
doi: 10.1145/3587259.3627567
editor:
- first_name: Kristen Brent
full_name: Venable, Kristen Brent
last_name: Venable
- first_name: Daniel
full_name: Garijo, Daniel
last_name: Garijo
- first_name: Brian
full_name: Jalaian, Brian
last_name: Jalaian
keyword:
- dice kuchelev moussallem ngonga srivastava
language:
- iso: eng
page: 122–130
publication: Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023,
Pensacola, FL, USA, December 5-7, 2023
publisher: ACM
status: public
title: Lingua Franca - Entity-Aware Machine Translation Approach for Question Answering
over Knowledge Graphs
type: conference
user_id: '67199'
year: '2023'
...
---
_id: '45560'
author:
- first_name: Manzoor
full_name: Ali, Manzoor
last_name: Ali
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Ali M, Saleem M, Moussallem D, Sherif M, Ngonga Ngomo A-C. RELD: A Knowledge
Graph of Relation Extraction Datasets. LibreCat University; 2023. doi:10.5281/ZENODO.7429677'
apa: 'Ali, M., Saleem, M., Moussallem, D., Sherif, M., & Ngonga Ngomo, A.-C.
(2023). RELD: A Knowledge Graph of Relation Extraction Datasets. LibreCat
University. https://doi.org/10.5281/ZENODO.7429677'
bibtex: '@book{Ali_Saleem_Moussallem_Sherif_Ngonga Ngomo_2023, title={RELD: A Knowledge
Graph of Relation Extraction Datasets}, DOI={10.5281/ZENODO.7429677},
publisher={LibreCat University}, author={Ali, Manzoor and Saleem, Muhammad and
Moussallem, Diego and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2023}
}'
chicago: 'Ali, Manzoor, Muhammad Saleem, Diego Moussallem, Mohamed Sherif, and Axel-Cyrille
Ngonga Ngomo. RELD: A Knowledge Graph of Relation Extraction Datasets.
LibreCat University, 2023. https://doi.org/10.5281/ZENODO.7429677.'
ieee: 'M. Ali, M. Saleem, D. Moussallem, M. Sherif, and A.-C. Ngonga Ngomo, RELD:
A Knowledge Graph of Relation Extraction Datasets. LibreCat University, 2023.'
mla: 'Ali, Manzoor, et al. RELD: A Knowledge Graph of Relation Extraction Datasets.
LibreCat University, 2023, doi:10.5281/ZENODO.7429677.'
short: 'M. Ali, M. Saleem, D. Moussallem, M. Sherif, A.-C. Ngonga Ngomo, RELD: A
Knowledge Graph of Relation Extraction Datasets, LibreCat University, 2023.'
date_created: 2023-06-09T10:18:36Z
date_updated: 2023-06-09T10:23:45Z
doi: 10.5281/ZENODO.7429677
publisher: LibreCat University
status: public
title: 'RELD: A Knowledge Graph of Relation Extraction Datasets'
type: research_data
user_id: '67234'
year: '2023'
...
---
_id: '46572'
abstract:
- lang: eng
text: Indonesian is classified as underrepresented in the Natural Language Processing
(NLP) field, despite being the tenth most spoken language in the world with 198
million speakers. The paucity of datasets is recognized as the main reason for
the slow advancements in NLP research for underrepresented languages. Significant
attempts were made in 2020 to address this drawback for Indonesian. The Indonesian
Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT
pre-trained language model. The second benchmark, Indonesian Language Evaluation
Montage (IndoLEM), was presented in the same year. These benchmarks support several
tasks, including Named Entity Recognition (NER). However, all NER datasets are
in the public domain and do not contain domain-specific datasets. To alleviate
this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset
in the religious domain that adheres to a meticulously designed annotation guideline.
Since Indonesia has the world’s largest Muslim population, we build the dataset
from the Indonesian translation of the Quran. The dataset includes 2475 named
entities representing 18 different classes. To assess the annotation quality of
IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT
fine-tuning. The results reveal that the first model outperforms the second model
achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable
evaluation metric for Indonesian NER tasks in the aforementioned domain, widening
the research’s domain range.
author:
- first_name: Ria Hari
full_name: Gusmita, Ria Hari
id: '71039'
last_name: Gusmita
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Gusmita RH, Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. IndQNER: Named
Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.
In: Natural Language Processing and Information Systems. Springer Nature
Switzerland; 2023. doi:10.1007/978-3-031-35320-8_12'
apa: 'Gusmita, R. H., Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C.
(2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
Translation of the Quran. In Natural Language Processing and Information Systems.
International Conference on Applications of Natural Language to Information Systems
(NLDB) 2023, Derby, UK. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_12'
bibtex: '@inbook{Gusmita_Firmansyah_Moussallem_Ngonga Ngomo_2023, place={Cham},
title={IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
Translation of the Quran}, DOI={10.1007/978-3-031-35320-8_12},
booktitle={Natural Language Processing and Information Systems}, publisher={Springer
Nature Switzerland}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and
Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
chicago: 'Gusmita, Ria Hari, Asep Fajar Firmansyah, Diego Moussallem, and Axel-Cyrille
Ngonga Ngomo. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian
Translation of the Quran.” In Natural Language Processing and Information Systems.
Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-35320-8_12.'
ieee: 'R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER:
Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,”
in Natural Language Processing and Information Systems, Cham: Springer
Nature Switzerland, 2023.'
mla: 'Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset
from the Indonesian Translation of the Quran.” Natural Language Processing
and Information Systems, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-35320-8_12.'
short: 'R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural
Language Processing and Information Systems, Springer Nature Switzerland, Cham,
2023.'
conference:
end_date: 2023-06-23
location: Derby, UK
name: International Conference on Applications of Natural Language to Information
Systems (NLDB) 2023
start_date: 2023-06-21
date_created: 2023-08-17T12:41:45Z
date_updated: 2024-11-19T15:41:34Z
department:
- _id: '34'
- _id: '574'
doi: 10.1007/978-3-031-35320-8_12
keyword:
- NER benchmark dataset
- Indonesian
- specific domain
language:
- iso: eng
place: Cham
publication: Natural Language Processing and Information Systems
publication_identifier:
isbn:
- '9783031353192'
- '9783031353208'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-3-031-35320-8_12
status: public
title: 'IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation
of the Quran'
type: book_chapter
user_id: '71039'
year: '2023'
...
---
_id: '57274'
author:
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Aleksandr
full_name: Perevalov, Aleksandr
id: '94275'
last_name: Perevalov
- first_name: Denis
full_name: Kuchelev, Denis
id: '70842'
last_name: Kuchelev
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Andreas
full_name: Both, Andreas
last_name: Both
citation:
ama: 'Srivastava N, Perevalov A, Kuchelev D, Moussallem D, Ngonga Ngomo A-C, Both
A. Lingua Franca – Entity-Aware Machine Translation Approach for Question Answering
over Knowledge Graphs. In: Proceedings of the 12th Knowledge Capture Conference
2023. ACM; 2023. doi:10.1145/3587259.3627567'
apa: Srivastava, N., Perevalov, A., Kuchelev, D., Moussallem, D., Ngonga Ngomo,
A.-C., & Both, A. (2023). Lingua Franca – Entity-Aware Machine Translation
Approach for Question Answering over Knowledge Graphs. Proceedings of the 12th
Knowledge Capture Conference 2023. https://doi.org/10.1145/3587259.3627567
bibtex: '@inproceedings{Srivastava_Perevalov_Kuchelev_Moussallem_Ngonga Ngomo_Both_2023,
title={Lingua Franca – Entity-Aware Machine Translation Approach for Question
Answering over Knowledge Graphs}, DOI={10.1145/3587259.3627567},
booktitle={Proceedings of the 12th Knowledge Capture Conference 2023}, publisher={ACM},
author={Srivastava, Nikit and Perevalov, Aleksandr and Kuchelev, Denis and Moussallem,
Diego and Ngonga Ngomo, Axel-Cyrille and Both, Andreas}, year={2023} }'
chicago: Srivastava, Nikit, Aleksandr Perevalov, Denis Kuchelev, Diego Moussallem,
Axel-Cyrille Ngonga Ngomo, and Andreas Both. “Lingua Franca – Entity-Aware Machine
Translation Approach for Question Answering over Knowledge Graphs.” In Proceedings
of the 12th Knowledge Capture Conference 2023. ACM, 2023. https://doi.org/10.1145/3587259.3627567.
ieee: 'N. Srivastava, A. Perevalov, D. Kuchelev, D. Moussallem, A.-C. Ngonga Ngomo,
and A. Both, “Lingua Franca – Entity-Aware Machine Translation Approach for Question
Answering over Knowledge Graphs,” 2023, doi: 10.1145/3587259.3627567.'
mla: Srivastava, Nikit, et al. “Lingua Franca – Entity-Aware Machine Translation
Approach for Question Answering over Knowledge Graphs.” Proceedings of the
12th Knowledge Capture Conference 2023, ACM, 2023, doi:10.1145/3587259.3627567.
short: 'N. Srivastava, A. Perevalov, D. Kuchelev, D. Moussallem, A.-C. Ngonga Ngomo,
A. Both, in: Proceedings of the 12th Knowledge Capture Conference 2023, ACM, 2023.'
date_created: 2024-11-20T10:39:39Z
date_updated: 2024-11-20T10:59:04Z
doi: 10.1145/3587259.3627567
language:
- iso: eng
publication: Proceedings of the 12th Knowledge Capture Conference 2023
publication_status: published
publisher: ACM
status: public
title: Lingua Franca – Entity-Aware Machine Translation Approach for Question Answering
over Knowledge Graphs
type: conference
user_id: '70066'
year: '2023'
...
---
_id: '54588'
author:
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
orcid: https://orcid.org/0000-0001-8403-5160
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Manzoor A, Saleem M, Moussallem D, Sherif M, Ngonga Ngomo A-C. RELD: A Knowledge
Graph of Relation Extraction Datasets. In: The Semantic Web. Springer Nature
Switzerland; 2023. doi:10.1007/978-3-031-33455-9_20'
apa: 'Manzoor, A., Saleem, M., Moussallem, D., Sherif, M., & Ngonga Ngomo, A.-C.
(2023). RELD: A Knowledge Graph of Relation Extraction Datasets. In The Semantic
Web. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-33455-9_20'
bibtex: '@inbook{Manzoor_Saleem_Moussallem_Sherif_Ngonga Ngomo_2023, place={Cham},
title={RELD: A Knowledge Graph of Relation Extraction Datasets}, DOI={10.1007/978-3-031-33455-9_20},
booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Manzoor,
Ali and Saleem, Muhammad and Moussallem, Diego and Sherif, Mohamed and Ngonga
Ngomo, Axel-Cyrille}, year={2023} }'
chicago: 'Manzoor, Ali, Muhammad Saleem, Diego Moussallem, Mohamed Sherif, and Axel-Cyrille
Ngonga Ngomo. “RELD: A Knowledge Graph of Relation Extraction Datasets.” In The
Semantic Web. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-33455-9_20.'
ieee: 'A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, and A.-C. Ngonga Ngomo,
“RELD: A Knowledge Graph of Relation Extraction Datasets,” in The Semantic
Web, Cham: Springer Nature Switzerland, 2023.'
mla: 'Manzoor, Ali, et al. “RELD: A Knowledge Graph of Relation Extraction Datasets.”
The Semantic Web, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-33455-9_20.'
short: 'A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, A.-C. Ngonga Ngomo, in:
The Semantic Web, Springer Nature Switzerland, Cham, 2023.'
date_created: 2024-06-04T12:28:49Z
date_updated: 2025-09-11T11:41:57Z
department:
- _id: '574'
doi: 10.1007/978-3-031-33455-9_20
language:
- iso: eng
place: Cham
publication: The Semantic Web
publication_identifier:
isbn:
- '9783031334542'
- '9783031334559'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'RELD: A Knowledge Graph of Relation Extraction Datasets'
type: book_chapter
user_id: '77309'
year: '2023'
...
---
_id: '29851'
author:
- first_name: 'Svetlana '
full_name: 'Pestryakova, Svetlana '
last_name: Pestryakova
- first_name: Daniel
full_name: Vollmers, Daniel
last_name: Vollmers
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: 'Muhammad '
full_name: 'Saleem, Muhammad '
last_name: Saleem
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Pestryakova S, Vollmers D, Sherif M, et al. CovidPubGraph: A FAIR Knowledge
Graph of COVID-19 Publications. Scientific Data. Published online 2022.
doi:10.1038/s41597-022-01298-2'
apa: 'Pestryakova, S., Vollmers, D., Sherif, M., Heindorf, S., Saleem, M., Moussallem,
D., & Ngonga Ngomo, A.-C. (2022). CovidPubGraph: A FAIR Knowledge Graph of
COVID-19 Publications. Scientific Data. https://doi.org/10.1038/s41597-022-01298-2'
bibtex: '@article{Pestryakova_Vollmers_Sherif_Heindorf_Saleem_Moussallem_Ngonga
Ngomo_2022, title={CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications},
DOI={10.1038/s41597-022-01298-2},
journal={Scientific Data}, author={Pestryakova, Svetlana and Vollmers, Daniel
and Sherif, Mohamed and Heindorf, Stefan and Saleem, Muhammad and Moussallem,
Diego and Ngonga Ngomo, Axel-Cyrille}, year={2022} }'
chicago: 'Pestryakova, Svetlana , Daniel Vollmers, Mohamed Sherif, Stefan Heindorf,
Muhammad Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “CovidPubGraph:
A FAIR Knowledge Graph of COVID-19 Publications.” Scientific Data, 2022.
https://doi.org/10.1038/s41597-022-01298-2.'
ieee: 'S. Pestryakova et al., “CovidPubGraph: A FAIR Knowledge Graph of COVID-19
Publications,” Scientific Data, 2022, doi: 10.1038/s41597-022-01298-2.'
mla: 'Pestryakova, Svetlana, et al. “CovidPubGraph: A FAIR Knowledge Graph of COVID-19
Publications.” Scientific Data, 2022, doi:10.1038/s41597-022-01298-2.'
short: S. Pestryakova, D. Vollmers, M. Sherif, S. Heindorf, M. Saleem, D. Moussallem,
A.-C. Ngonga Ngomo, Scientific Data (2022).
date_created: 2022-02-15T16:59:29Z
date_updated: 2024-05-26T19:14:21Z
department:
- _id: '574'
doi: 10.1038/s41597-022-01298-2
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.dice-research.org/2022/NSDJ_CovidPubGraph/public.pdf
oa: '1'
publication: Scientific Data
status: public
title: 'CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications'
type: journal_article
user_id: '11871'
year: '2022'
...
---
_id: '57285'
author:
- first_name: Victor
full_name: Mireles, Victor
last_name: Mireles
- first_name: Artem
full_name: Revenko, Artem
last_name: Revenko
- first_name: Nikit
full_name: Srivastava, Nikit
id: '70066'
last_name: Srivastava
orcid: 0009-0004-5164-4911
- first_name: Daniel
full_name: Vollmers, Daniel
last_name: Vollmers
- first_name: Anna
full_name: Breit, Anna
last_name: Breit
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
citation:
ama: 'Mireles V, Revenko A, Srivastava N, Vollmers D, Breit A, Moussallem D. Proposal
for PORQUE, a Polylingual Hybrid Question Answering System. In: Proceedings
of Poster and Demo Track and Workshop Track of the 18th International Conference
on Semantic Systems, Co-Located with 18th International Conference on Semantic
Systems (SEMANTiCS 2022). ; 2022.'
apa: Mireles, V., Revenko, A., Srivastava, N., Vollmers, D., Breit, A., & Moussallem,
D. (2022). Proposal for PORQUE, a Polylingual Hybrid Question Answering System.
Proceedings of Poster and Demo Track and Workshop Track of the 18th International
Conference on Semantic Systems, Co-Located with 18th International Conference
on Semantic Systems (SEMANTiCS 2022).
bibtex: '@inproceedings{Mireles_Revenko_Srivastava_Vollmers_Breit_Moussallem_2022,
place={Vienna, Austria}, title={Proposal for PORQUE, a Polylingual Hybrid Question
Answering System}, booktitle={Proceedings of Poster and Demo Track and Workshop
Track of the 18th International Conference on Semantic Systems, co-located with
18th International Conference on Semantic Systems (SEMANTiCS 2022)}, author={Mireles,
Victor and Revenko, Artem and Srivastava, Nikit and Vollmers, Daniel and Breit,
Anna and Moussallem, Diego}, year={2022} }'
chicago: Mireles, Victor, Artem Revenko, Nikit Srivastava, Daniel Vollmers, Anna
Breit, and Diego Moussallem. “Proposal for PORQUE, a Polylingual Hybrid Question
Answering System.” In Proceedings of Poster and Demo Track and Workshop Track
of the 18th International Conference on Semantic Systems, Co-Located with 18th
International Conference on Semantic Systems (SEMANTiCS 2022). Vienna, Austria,
2022.
ieee: V. Mireles, A. Revenko, N. Srivastava, D. Vollmers, A. Breit, and D. Moussallem,
“Proposal for PORQUE, a Polylingual Hybrid Question Answering System,” 2022.
mla: Mireles, Victor, et al. “Proposal for PORQUE, a Polylingual Hybrid Question
Answering System.” Proceedings of Poster and Demo Track and Workshop Track
of the 18th International Conference on Semantic Systems, Co-Located with 18th
International Conference on Semantic Systems (SEMANTiCS 2022), 2022.
short: 'V. Mireles, A. Revenko, N. Srivastava, D. Vollmers, A. Breit, D. Moussallem,
in: Proceedings of Poster and Demo Track and Workshop Track of the 18th International
Conference on Semantic Systems, Co-Located with 18th International Conference
on Semantic Systems (SEMANTiCS 2022), Vienna, Austria, 2022.'
date_created: 2024-11-20T10:44:40Z
date_updated: 2024-11-20T10:55:49Z
keyword:
- dice moussallem porque srivastava vollmers
language:
- iso: eng
place: Vienna, Austria
publication: Proceedings of Poster and Demo Track and Workshop Track of the 18th International
Conference on Semantic Systems, co-located with 18th International Conference on
Semantic Systems (SEMANTiCS 2022)
status: public
title: Proposal for PORQUE, a Polylingual Hybrid Question Answering System
type: conference
user_id: '70066'
year: '2022'
...
---
_id: '24721'
author:
- first_name: Abdullah
full_name: Fathi Ahmed, Abdullah
last_name: Fathi Ahmed
- first_name: Mohamed
full_name: Ahmed Sherif, Mohamed
last_name: Ahmed Sherif
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Fathi Ahmed A, Ahmed Sherif M, Moussallem D, Ngonga Ngomo A-C. Multilingual
Verbalization and Summarization for Explainable Link Discovery. Data Knowl
Eng. 2021;133:101874. doi:10.1016/j.datak.2021.101874
apa: Fathi Ahmed, A., Ahmed Sherif, M., Moussallem, D., & Ngonga Ngomo, A.-C.
(2021). Multilingual Verbalization and Summarization for Explainable Link Discovery.
Data Knowl. Eng., 133, 101874. https://doi.org/10.1016/j.datak.2021.101874
bibtex: '@article{Fathi Ahmed_Ahmed Sherif_Moussallem_Ngonga Ngomo_2021, title={Multilingual
Verbalization and Summarization for Explainable Link Discovery}, volume={133},
DOI={10.1016/j.datak.2021.101874},
journal={Data Knowl. Eng.}, author={Fathi Ahmed, Abdullah and Ahmed Sherif, Mohamed
and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={101874}
}'
chicago: 'Fathi Ahmed, Abdullah, Mohamed Ahmed Sherif, Diego Moussallem, and Axel-Cyrille
Ngonga Ngomo. “Multilingual Verbalization and Summarization for Explainable Link
Discovery.” Data Knowl. Eng. 133 (2021): 101874. https://doi.org/10.1016/j.datak.2021.101874.'
ieee: 'A. Fathi Ahmed, M. Ahmed Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “Multilingual
Verbalization and Summarization for Explainable Link Discovery,” Data Knowl.
Eng., vol. 133, p. 101874, 2021, doi: 10.1016/j.datak.2021.101874.'
mla: Fathi Ahmed, Abdullah, et al. “Multilingual Verbalization and Summarization
for Explainable Link Discovery.” Data Knowl. Eng., vol. 133, 2021, p. 101874,
doi:10.1016/j.datak.2021.101874.
short: A. Fathi Ahmed, M. Ahmed Sherif, D. Moussallem, A.-C. Ngonga Ngomo, Data
Knowl. Eng. 133 (2021) 101874.
date_created: 2021-09-20T13:04:11Z
date_updated: 2022-01-06T06:56:33Z
department:
- _id: '574'
doi: 10.1016/j.datak.2021.101874
intvolume: ' 133'
language:
- iso: eng
page: '101874'
publication: Data Knowl. Eng.
status: public
title: Multilingual Verbalization and Summarization for Explainable Link Discovery
type: journal_article
user_id: '65716'
volume: 133
year: '2021'
...