[{"user_id":"70066","_id":"57324","language":[{"iso":"eng"}],"publication":"Knowledge Engineering and Knowledge Management","type":"conference","status":"public","editor":[{"first_name":"Mehwish","last_name":"Alam","full_name":"Alam, Mehwish"},{"last_name":"Rospocher","full_name":"Rospocher, Marco","first_name":"Marco"},{"last_name":"van Erp","full_name":"van Erp, Marieke","first_name":"Marieke"},{"first_name":"Laura","full_name":"Hollink, Laura","last_name":"Hollink"},{"full_name":"Gesese, Genet Asefa","last_name":"Gesese","first_name":"Genet Asefa"}],"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."}],"date_created":"2024-11-22T12:56:54Z","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","orcid":"0000-0003-0215-1278","last_name":"Zahera","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768"},{"last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635","first_name":"Diego"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2024-11-22T12:58:59Z","publisher":"Springer Nature Switzerland","doi":"https://doi.org/10.1007/978-3-031-77792-9_11","title":"UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs","publication_identifier":{"isbn":["978-3-031-77792-9"]},"page":"174–189","citation":{"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 <i>Knowledge Engineering and Knowledge Management</i>, edited by Mehwish Alam, Marco Rospocher, Marieke van Erp, Laura Hollink, and Genet Asefa Gesese, 174–189. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>.","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 <i>Knowledge Engineering and Knowledge Management</i>, 2025, pp. 174–189, doi: <a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>.","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. <i>Knowledge Engineering and Knowledge Management</i>. Springer Nature Switzerland; 2025:174–189. doi:<a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>","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.","bibtex":"@inproceedings{Vollmers_Srivastava_Zahera_Moussallem_Ngonga Ngomo_2025, place={Cham}, title={UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>}, 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} }","mla":"Vollmers, Daniel, et al. “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs.” <i>Knowledge Engineering and Knowledge Management</i>, edited by Mehwish Alam et al., Springer Nature Switzerland, 2025, pp. 174–189, doi:<a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>.","apa":"Vollmers, D., Srivastava, N., Zahera, H. M. A., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2025). UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, &#38; G. A. Gesese (Eds.), <i>Knowledge Engineering and Knowledge Management</i> (pp. 174–189). Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>"},"year":"2025","place":"Cham"},{"language":[{"iso":"eng"}],"keyword":["firmansyah mousallem ngonga sherif zahera"],"department":[{"_id":"574"}],"series_title":"The Semantic Web","user_id":"67234","_id":"59054","status":"public","publication":"ESWC2025","type":"conference","doi":"10.1007/978-3-031-94575-5_8","conference":{"name":"ESWC 2025"},"title":"ANTS: Abstractive Entity Summarization in Knowledge Graphs","date_created":"2025-03-17T13:41:48Z","author":[{"last_name":"Firmansyah","full_name":"Firmansyah, Asep Fajar","id":"76787","first_name":"Asep Fajar"},{"first_name":"Hamada Mohamed Abdelsamee","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","last_name":"Zahera","orcid":"0000-0003-0215-1278"},{"id":"67234","full_name":"Sherif, Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","first_name":"Mohamed"},{"first_name":"Diego","last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2025-09-11T10:00:44Z","publisher":"pringer Nature Switzerland","page":"133--151","citation":{"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 <i>ESWC2025</i>, 2025, pp. 133--151, doi: <a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>.","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 <i>ESWC2025</i>, 133--151. The Semantic Web. pringer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">https://doi.org/10.1007/978-3-031-94575-5_8</a>.","ama":"Firmansyah AF, Zahera HMA, Sherif M, Moussallem D, Ngonga Ngomo A-C. ANTS: Abstractive Entity Summarization in Knowledge Graphs. In: <i>ESWC2025</i>. The Semantic Web. pringer Nature Switzerland; 2025:133--151. doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>","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.","mla":"Firmansyah, Asep Fajar, et al. “ANTS: Abstractive Entity Summarization in Knowledge Graphs.” <i>ESWC2025</i>, pringer Nature Switzerland, 2025, pp. 133--151, doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>.","bibtex":"@inproceedings{Firmansyah_Zahera_Sherif_Moussallem_Ngonga Ngomo_2025, series={The Semantic Web}, title={ANTS: Abstractive Entity Summarization in Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">10.1007/978-3-031-94575-5_8</a>}, 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} }","apa":"Firmansyah, A. F., Zahera, H. M. A., Sherif, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2025). ANTS: Abstractive Entity Summarization in Knowledge Graphs. <i>ESWC2025</i>, 133--151. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_8\">https://doi.org/10.1007/978-3-031-94575-5_8</a>"},"year":"2025","publication_identifier":{"isbn":["978-3-031-94575-5"]},"publication_status":"published"},{"date_updated":"2025-09-11T11:14:27Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","author":[{"last_name":"Manzoor","orcid":"https://orcid.org/0000-0001-8403-5160","full_name":"Manzoor, Ali","id":"77309","first_name":"Ali"},{"last_name":"Speck","id":"70843","full_name":"Speck, René","first_name":"René"},{"orcid":"0000-0003-0215-1278","last_name":"Zahera","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768","first_name":"Hamada Mohamed Abdelsamee"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"first_name":"Diego","last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_created":"2025-09-04T13:32:08Z","title":"Multilingual Relation Extraction - A Survey","doi":"10.1109/access.2025.3604258","publication_status":"published","publication_identifier":{"issn":["2169-3536"]},"year":"2025","citation":{"short":"A. Manzoor, R. Speck, H.M.A. Zahera, M. Saleem, D. Moussallem, A.-C. Ngonga Ngomo, IEEE Access (2025) 1–1.","mla":"Manzoor, Ali, et al. “Multilingual Relation Extraction - A Survey.” <i>IEEE Access</i>, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>.","bibtex":"@article{Manzoor_Speck_Zahera_Saleem_Moussallem_Ngonga Ngomo_2025, title={Multilingual Relation Extraction - A Survey}, DOI={<a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>}, 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} }","apa":"Manzoor, A., Speck, R., Zahera, H. M. A., Saleem, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2025). Multilingual Relation Extraction - A Survey. <i>IEEE Access</i>, 1–1. <a href=\"https://doi.org/10.1109/access.2025.3604258\">https://doi.org/10.1109/access.2025.3604258</a>","ama":"Manzoor A, Speck R, Zahera HMA, Saleem M, Moussallem D, Ngonga Ngomo A-C. Multilingual Relation Extraction - A Survey. <i>IEEE Access</i>. Published online 2025:1-1. doi:<a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>","ieee":"A. Manzoor, R. Speck, H. M. A. Zahera, M. Saleem, D. Moussallem, and A.-C. Ngonga Ngomo, “Multilingual Relation Extraction - A Survey,” <i>IEEE Access</i>, pp. 1–1, 2025, doi: <a href=\"https://doi.org/10.1109/access.2025.3604258\">10.1109/access.2025.3604258</a>.","chicago":"Manzoor, Ali, René Speck, Hamada Mohamed Abdelsamee Zahera, Muhammad Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Multilingual Relation Extraction - A Survey.” <i>IEEE Access</i>, 2025, 1–1. <a href=\"https://doi.org/10.1109/access.2025.3604258\">https://doi.org/10.1109/access.2025.3604258</a>."},"page":"1-1","_id":"61134","user_id":"77309","department":[{"_id":"574"}],"language":[{"iso":"eng"}],"type":"journal_article","publication":"IEEE Access","status":"public"},{"citation":{"ieee":"N. Srivastava <i>et al.</i>, “LOLA – An Open-Source Massively Multilingual Large Language Model,” in <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, 2025, pp. 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 <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, 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.","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. <i>Proceedings of the 31st International Conference on Computational Linguistics</i>. 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., &#38; 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, &#38; S. Schockaert (Eds.), <i>Proceedings of the 31st International Conference on Computational Linguistics</i> (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} }","mla":"Srivastava, Nikit, et al. “LOLA – An Open-Source Massively Multilingual Large Language Model.” <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, 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."},"page":"6420–6446","year":"2025","place":"Abu Dhabi, UAE","author":[{"first_name":"Nikit","full_name":"Srivastava, Nikit","id":"70066","orcid":"0009-0004-5164-4911","last_name":"Srivastava"},{"full_name":"Kuchelev, Denis","id":"70842","last_name":"Kuchelev","first_name":"Denis"},{"first_name":"Tatiana","last_name":"Moteu Ngoli","full_name":"Moteu Ngoli, Tatiana","id":"99174"},{"last_name":"Shetty","full_name":"Shetty, Kshitij","first_name":"Kshitij"},{"id":"67199","full_name":"Röder, Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","first_name":"Michael"},{"first_name":"Hamada Mohamed Abdelsamee","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","orcid":"0000-0003-0215-1278","last_name":"Zahera"},{"first_name":"Diego","last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_created":"2025-10-08T11:02:30Z","oa":"1","publisher":"Association for Computational Linguistics","date_updated":"2026-01-06T10:11:37Z","main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2025.coling-main.428.pdf"}],"title":"LOLA – An Open-Source Massively Multilingual Large Language Model","type":"conference","publication":"Proceedings of the 31st International Conference on Computational Linguistics","status":"public","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."}],"editor":[{"last_name":"Rambow","full_name":"Rambow, Owen","first_name":"Owen"},{"full_name":"Wanner, Leo","last_name":"Wanner","first_name":"Leo"},{"last_name":"Apidianaki","full_name":"Apidianaki, Marianna","first_name":"Marianna"},{"first_name":"Hend","last_name":"Al-Khalifa","full_name":"Al-Khalifa, Hend"},{"last_name":"Eugenio","full_name":"Eugenio, Barbara Di","first_name":"Barbara Di"},{"full_name":"Schockaert, Steven","last_name":"Schockaert","first_name":"Steven"}],"user_id":"70066","_id":"61753","language":[{"iso":"eng"}]},{"year":"2024","place":"Cham","citation":{"chicago":"Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “ESLM: Improving Entity Summarization by Leveraging Language Models.” In <i>The Semantic Web</i>. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-60626-7_9\">https://doi.org/10.1007/978-3-031-60626-7_9</a>.","ieee":"A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “ESLM: Improving Entity Summarization by Leveraging Language Models,” in <i>The Semantic Web</i>, Cham: Springer Nature Switzerland, 2024.","ama":"Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. ESLM: Improving Entity Summarization by Leveraging Language Models. In: <i>The Semantic Web</i>. Springer Nature Switzerland; 2024. doi:<a href=\"https://doi.org/10.1007/978-3-031-60626-7_9\">10.1007/978-3-031-60626-7_9</a>","apa":"Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). ESLM: Improving Entity Summarization by Leveraging Language Models. In <i>The Semantic Web</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-60626-7_9\">https://doi.org/10.1007/978-3-031-60626-7_9</a>","mla":"Firmansyah, Asep Fajar, et al. “ESLM: Improving Entity Summarization by Leveraging Language Models.” <i>The Semantic Web</i>, Springer Nature Switzerland, 2024, doi:<a href=\"https://doi.org/10.1007/978-3-031-60626-7_9\">10.1007/978-3-031-60626-7_9</a>.","short":"A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: The Semantic Web, Springer Nature Switzerland, Cham, 2024.","bibtex":"@inbook{Firmansyah_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={ESLM: Improving Entity Summarization by Leveraging Language Models}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-60626-7_9\">10.1007/978-3-031-60626-7_9</a>}, booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024} }"},"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031606250","9783031606267"]},"publication_status":"published","title":"ESLM: Improving Entity Summarization by Leveraging Language Models","doi":"10.1007/978-3-031-60626-7_9","date_updated":"2024-06-04T11:09:23Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Asep Fajar","full_name":"Firmansyah, Asep Fajar","id":"76787","last_name":"Firmansyah"},{"first_name":"Diego","last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2024-05-22T09:00:03Z","status":"public","publication":"The Semantic Web","type":"book_chapter","language":[{"iso":"eng"}],"_id":"54412","department":[{"_id":"574"},{"_id":"34"}],"user_id":"76787"},{"title":"Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed","date_created":"2024-07-05T14:12:47Z","author":[{"first_name":"Ali","full_name":"Manzoor, Ali","id":"77309","last_name":"Manzoor"},{"full_name":"Sohail Nisar, Muhammad","last_name":"Sohail Nisar","first_name":"Muhammad"},{"first_name":"Saleem","last_name":"Muhammad","full_name":"Muhammad, Saleem"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_updated":"2024-07-05T14:14:28Z","publisher":"Springer International Publishing","citation":{"apa":"Manzoor, A., Sohail Nisar, M., Muhammad, S., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed. <i>NLDB24</i>.","mla":"Manzoor, Ali, et al. “Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed.” <i>NLDB24</i>, Springer International Publishing, 2024.","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} }","short":"A. Manzoor, M. Sohail Nisar, S. Muhammad, D. Moussallem, A.-C. Ngonga Ngomo, in: NLDB24, Springer International Publishing, 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 <i>NLDB24</i>. 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.","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: <i>NLDB24</i>. Springer International Publishing; 2024."},"year":"2024","language":[{"iso":"eng"}],"keyword":["Nisar SFB-TRR Saleem climate_bOWL colide dice enexa kiam manzoor moussallem ngonga"],"user_id":"77309","_id":"55095","status":"public","publication":"NLDB24","type":"conference"},{"date_created":"2024-09-23T12:31:23Z","author":[{"full_name":"Li, Jiayi","last_name":"Li","first_name":"Jiayi"},{"last_name":"Satheesh","full_name":"Satheesh, Sheetal","first_name":"Sheetal"},{"first_name":"Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan","id":"11871"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"full_name":"Speck, René","id":"70843","last_name":"Speck","first_name":"René"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"publisher":"Springer Nature Switzerland","date_updated":"2024-09-23T12:36:17Z","doi":"10.1007/978-3-031-63787-2_7","conference":{"start_date":"2024-07-17","name":"The 2nd World Conference on eXplainable Artificial Intelligence","location":"Malta, Valletta","end_date":"2024-07-19"},"title":"AutoCL: AutoML for Concept Learning","publication_identifier":{"isbn":["9783031637865","9783031637872"],"issn":["1865-0929","1865-0937"]},"publication_status":"published","citation":{"ama":"Li J, Satheesh S, Heindorf S, Moussallem D, Speck R, Ngonga Ngomo A-C. AutoCL: AutoML for Concept Learning. In: <i>Communications in Computer and Information Science</i>. Springer Nature Switzerland; 2024. doi:<a href=\"https://doi.org/10.1007/978-3-031-63787-2_7\">10.1007/978-3-031-63787-2_7</a>","ieee":"J. Li, S. Satheesh, S. Heindorf, D. Moussallem, R. Speck, and A.-C. Ngonga Ngomo, “AutoCL: AutoML for Concept Learning,” in <i>Communications in Computer and Information Science</i>, Cham: Springer Nature Switzerland, 2024.","chicago":"Li, Jiayi, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck, and Axel-Cyrille Ngonga Ngomo. “AutoCL: AutoML for Concept Learning.” In <i>Communications in Computer and Information Science</i>. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-63787-2_7\">https://doi.org/10.1007/978-3-031-63787-2_7</a>.","mla":"Li, Jiayi, et al. “AutoCL: AutoML for Concept Learning.” <i>Communications in Computer and Information Science</i>, Springer Nature Switzerland, 2024, doi:<a href=\"https://doi.org/10.1007/978-3-031-63787-2_7\">10.1007/978-3-031-63787-2_7</a>.","bibtex":"@inbook{Li_Satheesh_Heindorf_Moussallem_Speck_Ngonga Ngomo_2024, place={Cham}, title={AutoCL: AutoML for Concept Learning}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-63787-2_7\">10.1007/978-3-031-63787-2_7</a>}, 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} }","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.","apa":"Li, J., Satheesh, S., Heindorf, S., Moussallem, D., Speck, R., &#38; Ngonga Ngomo, A.-C. (2024). AutoCL: AutoML for Concept Learning. In <i>Communications in Computer and Information Science</i>. The 2nd World Conference on eXplainable Artificial Intelligence, Malta, Valletta. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-63787-2_7\">https://doi.org/10.1007/978-3-031-63787-2_7</a>"},"place":"Cham","year":"2024","department":[{"_id":"760"},{"_id":"574"}],"user_id":"11871","_id":"56214","language":[{"iso":"eng"}],"publication":"Communications in Computer and Information Science","type":"book_chapter","status":"public"},{"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."}],"status":"public","publication":"Lecture Notes in Computer Science","type":"book_chapter","keyword":["entity linking benchmark dataset","Indonesian","general and specific domains"],"language":[{"iso":"eng"}],"_id":"56581","user_id":"71039","year":"2024","place":"Cham","citation":{"apa":"Gusmita, R. H., Abshar, M. F. A., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains. In <i>Lecture Notes in Computer Science</i>. The 29th Annual International Conference on Natural Language &#38; Information Systems (NLDB 2024), Turin, Italy. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">https://doi.org/10.1007/978-3-031-70239-6_34</a>","mla":"Gusmita, Ria Hari, et al. “IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2024, doi:<a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">10.1007/978-3-031-70239-6_34</a>.","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.","bibtex":"@inbook{Gusmita_Abshar_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">10.1007/978-3-031-70239-6_34</a>}, 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} }","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 <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 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 <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2024. <a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">https://doi.org/10.1007/978-3-031-70239-6_34</a>.","ama":"Gusmita RH, Abshar MFA, Moussallem D, Ngonga Ngomo A-C. IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2024. doi:<a href=\"https://doi.org/10.1007/978-3-031-70239-6_34\">10.1007/978-3-031-70239-6_34</a>"},"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031702389","9783031702396"]},"publication_status":"published","related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-70239-6_34","relation":"confirmation"}]},"title":"IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains","conference":{"name":"The 29th Annual International Conference on Natural Language & Information Systems (NLDB 2024)","start_date":"2024-06-25","end_date":"2024-06-27","location":"Turin, Italy"},"doi":"10.1007/978-3-031-70239-6_34","publisher":"Springer Nature Switzerland","date_updated":"2024-10-14T19:22:16Z","date_created":"2024-10-10T14:29:08Z","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","last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}]},{"type":"preprint","status":"public","citation":{"apa":"Srivastava, N., Ma, M., Vollmers, D., Zahera, H. M. A., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). <i>MST5 -- Multilingual Question Answering over Knowledge Graphs</i>.","mla":"Srivastava, Nikit, et al. <i>MST5 -- Multilingual Question Answering over Knowledge Graphs</i>. 2024.","short":"N. Srivastava, M. Ma, D. Vollmers, H.M.A. Zahera, D. Moussallem, A.-C. Ngonga Ngomo, (2024).","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} }","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.","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."},"year":"2024","date_created":"2024-11-20T10:40:50Z","author":[{"orcid":"0009-0004-5164-4911","last_name":"Srivastava","full_name":"Srivastava, Nikit","id":"70066","first_name":"Nikit"},{"first_name":"Mengshi","last_name":"Ma","full_name":"Ma, Mengshi"},{"first_name":"Daniel","last_name":"Vollmers","full_name":"Vollmers, Daniel"},{"orcid":"0000-0003-0215-1278","last_name":"Zahera","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768","first_name":"Hamada Mohamed Abdelsamee"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"user_id":"70066","_id":"57277","date_updated":"2024-11-20T10:57:42Z","language":[{"iso":"eng"}],"title":"MST5 -- Multilingual Question Answering over Knowledge Graphs"},{"status":"public","type":"conference","publication":"SEMANTiCS","language":[{"iso":"eng"}],"keyword":["TRR318 climatebowl colide dice enexa kiam manzoor moussallem ngonga sailproject sherif simba zahera"],"user_id":"67234","department":[{"_id":"574"}],"_id":"55094","citation":{"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} }","short":"H.M.A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, in: SEMANTiCS, Amsterdam, Netherlands, 2024.","mla":"Zahera, Hamada Mohamed Abdelsamee, et al. “Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting.” <i>SEMANTiCS</i>, 2024.","apa":"Zahera, H. M. A., Manzoor, A., Sherif, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting. <i>SEMANTiCS</i>.","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.","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 <i>SEMANTiCS</i>. Amsterdam, Netherlands, 2024.","ama":"Zahera HMA, Manzoor A, Sherif M, Moussallem D, Ngonga Ngomo A-C. Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting. In: <i>SEMANTiCS</i>. ; 2024."},"year":"2024","place":"Amsterdam, Netherlands","title":"Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting","author":[{"last_name":"Zahera","orcid":"0000-0003-0215-1278","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","first_name":"Hamada Mohamed Abdelsamee"},{"orcid":"https://orcid.org/0000-0001-8403-5160","last_name":"Manzoor","full_name":"Manzoor, Ali","id":"77309","first_name":"Ali"},{"first_name":"Mohamed","full_name":"Sherif, Mohamed","id":"67234","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203"},{"first_name":"Diego","id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_created":"2024-07-05T13:59:24Z","date_updated":"2025-09-11T10:37:39Z"},{"publication":"Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)","type":"conference","status":"public","_id":"57278","user_id":"70066","language":[{"iso":"eng"}],"publication_status":"published","year":"2024","citation":{"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.","bibtex":"@inproceedings{Morim da Silva_Srivastava_Moteu Ngoli_Röder_Moussallem_Ngonga Ngomo_2024, title={Benchmarking Low-Resource Machine Translation Systems}, DOI={<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>}, 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} }","mla":"Morim da Silva, Ana Alexandra, et al. “Benchmarking Low-Resource Machine Translation Systems.” <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>, Association for Computational Linguistics, 2024, doi:<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>.","apa":"Morim da Silva, A. A., Srivastava, N., Moteu Ngoli, T., Röder, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). Benchmarking Low-Resource Machine Translation Systems. <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">https://doi.org/10.18653/v1/2024.loresmt-1.18</a>","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: <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. Association for Computational Linguistics; 2024. doi:<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>","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: <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>.","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 <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. Association for Computational Linguistics, 2024. <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">https://doi.org/10.18653/v1/2024.loresmt-1.18</a>."},"date_updated":"2025-12-02T19:29:53Z","publisher":"Association for Computational Linguistics","author":[{"first_name":"Ana Alexandra","id":"72108","full_name":"Morim da Silva, Ana Alexandra","last_name":"Morim da Silva"},{"first_name":"Nikit","full_name":"Srivastava, Nikit","id":"70066","orcid":"0009-0004-5164-4911","last_name":"Srivastava"},{"id":"99174","full_name":"Moteu Ngoli, Tatiana","last_name":"Moteu Ngoli","first_name":"Tatiana"},{"first_name":"Michael","id":"67199","full_name":"Röder, Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"}],"date_created":"2024-11-20T10:41:16Z","title":"Benchmarking Low-Resource Machine Translation Systems","doi":"10.18653/v1/2024.loresmt-1.18"},{"date_updated":"2024-06-04T12:23:45Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Abdullah Fathi Ahmed","id":"29670","full_name":"Ahmed, Abdullah Fathi Ahmed","last_name":"Ahmed"},{"full_name":"Firmansyah, Asep Fajar","id":"76787","last_name":"Firmansyah","first_name":"Asep Fajar"},{"first_name":"Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","id":"67234","full_name":"Sherif, Mohamed"},{"first_name":"Diego","last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"date_created":"2023-08-16T08:57:11Z","title":"Explainable Integration of Knowledge Graphs Using Large Language Models","doi":"10.1007/978-3-031-35320-8_9","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031353192","9783031353208"]},"year":"2023","place":"Cham","citation":{"ama":"Ahmed AFA, Firmansyah AF, Sherif M, Moussallem D, Ngonga Ngomo A-C. Explainable Integration of Knowledge Graphs Using Large Language Models. In: <i>Natural Language Processing and Information Systems</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_9\">10.1007/978-3-031-35320-8_9</a>","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 <i>Natural Language Processing and Information Systems</i>, Cham: Springer Nature Switzerland, 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 <i>Natural Language Processing and Information Systems</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_9\">https://doi.org/10.1007/978-3-031-35320-8_9</a>.","apa":"Ahmed, A. F. A., Firmansyah, A. F., Sherif, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2023). Explainable Integration of Knowledge Graphs Using Large Language Models. In <i>Natural Language Processing and Information Systems</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_9\">https://doi.org/10.1007/978-3-031-35320-8_9</a>","bibtex":"@inbook{Ahmed_Firmansyah_Sherif_Moussallem_Ngonga Ngomo_2023, place={Cham}, title={Explainable Integration of Knowledge Graphs Using Large Language Models}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-35320-8_9\">10.1007/978-3-031-35320-8_9</a>}, 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} }","mla":"Ahmed, Abdullah Fathi Ahmed, et al. “Explainable Integration of Knowledge Graphs Using Large Language Models.” <i>Natural Language Processing and Information Systems</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_9\">10.1007/978-3-031-35320-8_9</a>.","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."},"_id":"46516","user_id":"76787","department":[{"_id":"34"},{"_id":"574"}],"language":[{"iso":"eng"}],"type":"book_chapter","publication":"Natural Language Processing and Information Systems","abstract":[{"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.","lang":"eng"}],"status":"public"},{"author":[{"last_name":"Srivastava","full_name":"Srivastava, Nikit","first_name":"Nikit"},{"first_name":"Aleksandr","full_name":"Perevalov, Aleksandr","id":"94275","last_name":"Perevalov"},{"full_name":"Kuchelev, Denis","id":"70842","last_name":"Kuchelev","first_name":"Denis"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"},{"full_name":"Both, Andreas","last_name":"Both","first_name":"Andreas"}],"date_created":"2024-06-04T15:57:41Z","date_updated":"2024-06-04T15:58:16Z","publisher":"ACM","doi":"10.1145/3587259.3627567","title":"Lingua Franca - Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs","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. <i>Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023</i>. ACM; 2023:122–130. doi:<a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>","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 <i>Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023</i>, edited by Kristen Brent Venable, Daniel Garijo, and Brian Jalaian, 122–130. ACM, 2023. <a href=\"https://doi.org/10.1145/3587259.3627567\">https://doi.org/10.1145/3587259.3627567</a>.","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 <i>Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023</i>, 2023, pp. 122–130, doi: <a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>.","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.","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={<a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>}, 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} }","mla":"Srivastava, Nikit, et al. “Lingua Franca - Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs.” <i>Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023</i>, edited by Kristen Brent Venable et al., ACM, 2023, pp. 122–130, doi:<a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>.","apa":"Srivastava, N., Perevalov, A., Kuchelev, D., Moussallem, D., Ngonga Ngomo, A.-C., &#38; Both, A. (2023). Lingua Franca - Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs. In K. B. Venable, D. Garijo, &#38; B. Jalaian (Eds.), <i>Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023</i> (pp. 122–130). ACM. <a href=\"https://doi.org/10.1145/3587259.3627567\">https://doi.org/10.1145/3587259.3627567</a>"},"page":"122–130","year":"2023","user_id":"67199","department":[{"_id":"574"}],"_id":"54614","language":[{"iso":"eng"}],"keyword":["dice kuchelev moussallem ngonga srivastava"],"type":"conference","publication":"Proceedings of the 12th Knowledge Capture Conference 2023, {K-CAP} 2023, Pensacola, FL, USA, December 5-7, 2023","status":"public","editor":[{"first_name":"Kristen Brent","last_name":"Venable","full_name":"Venable, Kristen Brent"},{"first_name":"Daniel","full_name":"Garijo, Daniel","last_name":"Garijo"},{"first_name":"Brian","full_name":"Jalaian, Brian","last_name":"Jalaian"}]},{"year":"2023","citation":{"mla":"Ali, Manzoor, et al. <i>RELD: A Knowledge Graph of Relation Extraction Datasets</i>. LibreCat University, 2023, doi:<a href=\"https://doi.org/10.5281/ZENODO.7429677\">10.5281/ZENODO.7429677</a>.","short":"M. Ali, M. Saleem, D. Moussallem, M. Sherif, A.-C. Ngonga Ngomo, RELD: A Knowledge Graph of Relation Extraction Datasets, LibreCat University, 2023.","bibtex":"@book{Ali_Saleem_Moussallem_Sherif_Ngonga Ngomo_2023, title={RELD: A Knowledge Graph of Relation Extraction Datasets}, DOI={<a href=\"https://doi.org/10.5281/ZENODO.7429677\">10.5281/ZENODO.7429677</a>}, publisher={LibreCat University}, author={Ali, Manzoor and Saleem, Muhammad and Moussallem, Diego and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","apa":"Ali, M., Saleem, M., Moussallem, D., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2023). <i>RELD: A Knowledge Graph of Relation Extraction Datasets</i>. LibreCat University. <a href=\"https://doi.org/10.5281/ZENODO.7429677\">https://doi.org/10.5281/ZENODO.7429677</a>","ieee":"M. Ali, M. Saleem, D. Moussallem, M. Sherif, and A.-C. Ngonga Ngomo, <i>RELD: A Knowledge Graph of Relation Extraction Datasets</i>. LibreCat University, 2023.","chicago":"Ali, Manzoor, Muhammad Saleem, Diego Moussallem, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. <i>RELD: A Knowledge Graph of Relation Extraction Datasets</i>. LibreCat University, 2023. <a href=\"https://doi.org/10.5281/ZENODO.7429677\">https://doi.org/10.5281/ZENODO.7429677</a>.","ama":"Ali M, Saleem M, Moussallem D, Sherif M, Ngonga Ngomo A-C. <i>RELD: A Knowledge Graph of Relation Extraction Datasets</i>. LibreCat University; 2023. doi:<a href=\"https://doi.org/10.5281/ZENODO.7429677\">10.5281/ZENODO.7429677</a>"},"publisher":"LibreCat University","date_updated":"2023-06-09T10:23:45Z","author":[{"first_name":"Manzoor","full_name":"Ali, Manzoor","last_name":"Ali"},{"full_name":"Saleem, Muhammad","last_name":"Saleem","first_name":"Muhammad"},{"full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem","first_name":"Diego"},{"orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","id":"67234","full_name":"Sherif, Mohamed","first_name":"Mohamed"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"date_created":"2023-06-09T10:18:36Z","title":"RELD: A Knowledge Graph of Relation Extraction Datasets","doi":"10.5281/ZENODO.7429677","type":"research_data","status":"public","_id":"45560","user_id":"67234"},{"publisher":"Springer Nature Switzerland","date_created":"2023-08-17T12:41:45Z","title":"IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran","year":"2023","keyword":["NER benchmark dataset","Indonesian","specific domain"],"language":[{"iso":"eng"}],"publication":"Natural Language Processing and Information Systems","abstract":[{"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.","lang":"eng"}],"date_updated":"2024-11-19T15:41:34Z","author":[{"first_name":"Ria Hari","last_name":"Gusmita","full_name":"Gusmita, Ria Hari","id":"71039"},{"first_name":"Asep Fajar","last_name":"Firmansyah","full_name":"Firmansyah, Asep Fajar","id":"76787"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"conference":{"name":"International Conference on Applications of Natural Language to Information Systems (NLDB) 2023","start_date":"2023-06-21","end_date":"2023-06-23","location":"Derby, UK"},"doi":"10.1007/978-3-031-35320-8_12","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031353192","9783031353208"]},"publication_status":"published","related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-35320-8_12","relation":"confirmation"}]},"place":"Cham","citation":{"apa":"Gusmita, R. H., Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In <i>Natural Language Processing and Information Systems</i>. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">https://doi.org/10.1007/978-3-031-35320-8_12</a>","mla":"Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.” <i>Natural Language Processing and Information Systems</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>.","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.","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={<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>}, 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 <i>Natural Language Processing and Information Systems</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">https://doi.org/10.1007/978-3-031-35320-8_12</a>.","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 <i>Natural Language Processing and Information Systems</i>, Cham: Springer Nature Switzerland, 2023.","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: <i>Natural Language Processing and Information Systems</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>"},"_id":"46572","department":[{"_id":"34"},{"_id":"574"}],"user_id":"71039","type":"book_chapter","status":"public"},{"status":"public","publication":"Proceedings of the 12th Knowledge Capture Conference 2023","type":"conference","language":[{"iso":"eng"}],"user_id":"70066","_id":"57274","citation":{"apa":"Srivastava, N., Perevalov, A., Kuchelev, D., Moussallem, D., Ngonga Ngomo, A.-C., &#38; Both, A. (2023). Lingua Franca – Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs. <i>Proceedings of the 12th Knowledge Capture Conference 2023</i>. <a href=\"https://doi.org/10.1145/3587259.3627567\">https://doi.org/10.1145/3587259.3627567</a>","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.","mla":"Srivastava, Nikit, et al. “Lingua Franca – Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs.” <i>Proceedings of the 12th Knowledge Capture Conference 2023</i>, ACM, 2023, doi:<a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>.","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={<a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>}, 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} }","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: <i>Proceedings of the 12th Knowledge Capture Conference 2023</i>. ACM; 2023. doi:<a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>","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: <a href=\"https://doi.org/10.1145/3587259.3627567\">10.1145/3587259.3627567</a>.","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 <i>Proceedings of the 12th Knowledge Capture Conference 2023</i>. ACM, 2023. <a href=\"https://doi.org/10.1145/3587259.3627567\">https://doi.org/10.1145/3587259.3627567</a>."},"year":"2023","publication_status":"published","doi":"10.1145/3587259.3627567","title":"Lingua Franca – Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs","author":[{"first_name":"Nikit","last_name":"Srivastava","orcid":"0009-0004-5164-4911","full_name":"Srivastava, Nikit","id":"70066"},{"first_name":"Aleksandr","id":"94275","full_name":"Perevalov, Aleksandr","last_name":"Perevalov"},{"full_name":"Kuchelev, Denis","id":"70842","last_name":"Kuchelev","first_name":"Denis"},{"last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635","first_name":"Diego"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"},{"last_name":"Both","full_name":"Both, Andreas","first_name":"Andreas"}],"date_created":"2024-11-20T10:39:39Z","publisher":"ACM","date_updated":"2024-11-20T10:59:04Z"},{"date_created":"2024-06-04T12:28:49Z","author":[{"last_name":"Manzoor","orcid":"https://orcid.org/0000-0001-8403-5160","full_name":"Manzoor, Ali","id":"77309","first_name":"Ali"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"first_name":"Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","full_name":"Sherif, Mohamed","id":"67234"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"publisher":"Springer Nature Switzerland","date_updated":"2025-09-11T11:41:57Z","doi":"10.1007/978-3-031-33455-9_20","title":"RELD: A Knowledge Graph of Relation Extraction Datasets","publication_status":"published","publication_identifier":{"isbn":["9783031334542","9783031334559"],"issn":["0302-9743","1611-3349"]},"citation":{"chicago":"Manzoor, Ali, Muhammad Saleem, Diego Moussallem, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “RELD: A Knowledge Graph of Relation Extraction Datasets.” In <i>The Semantic Web</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">https://doi.org/10.1007/978-3-031-33455-9_20</a>.","ieee":"A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, and A.-C. Ngonga Ngomo, “RELD: A Knowledge Graph of Relation Extraction Datasets,” in <i>The Semantic Web</i>, Cham: Springer Nature Switzerland, 2023.","ama":"Manzoor A, Saleem M, Moussallem D, Sherif M, Ngonga Ngomo A-C. RELD: A Knowledge Graph of Relation Extraction Datasets. In: <i>The Semantic Web</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">10.1007/978-3-031-33455-9_20</a>","apa":"Manzoor, A., Saleem, M., Moussallem, D., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2023). RELD: A Knowledge Graph of Relation Extraction Datasets. In <i>The Semantic Web</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">https://doi.org/10.1007/978-3-031-33455-9_20</a>","short":"A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, A.-C. Ngonga Ngomo, in: The Semantic Web, Springer Nature Switzerland, Cham, 2023.","bibtex":"@inbook{Manzoor_Saleem_Moussallem_Sherif_Ngonga Ngomo_2023, place={Cham}, title={RELD: A Knowledge Graph of Relation Extraction Datasets}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">10.1007/978-3-031-33455-9_20</a>}, 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} }","mla":"Manzoor, Ali, et al. “RELD: A Knowledge Graph of Relation Extraction Datasets.” <i>The Semantic Web</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">10.1007/978-3-031-33455-9_20</a>."},"year":"2023","place":"Cham","user_id":"77309","department":[{"_id":"574"}],"_id":"54588","language":[{"iso":"eng"}],"type":"book_chapter","publication":"The Semantic Web","status":"public"},{"status":"public","type":"journal_article","publication":"Scientific Data","language":[{"iso":"eng"}],"_id":"29851","user_id":"11871","department":[{"_id":"574"}],"year":"2022","citation":{"ama":"Pestryakova S, Vollmers D, Sherif M, et al. CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications. <i>Scientific Data</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1038/s41597-022-01298-2\">10.1038/s41597-022-01298-2</a>","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.” <i>Scientific Data</i>, 2022. <a href=\"https://doi.org/10.1038/s41597-022-01298-2\">https://doi.org/10.1038/s41597-022-01298-2</a>.","ieee":"S. Pestryakova <i>et al.</i>, “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications,” <i>Scientific Data</i>, 2022, doi: <a href=\"https://doi.org/10.1038/s41597-022-01298-2\">10.1038/s41597-022-01298-2</a>.","apa":"Pestryakova, S., Vollmers, D., Sherif, M., Heindorf, S., Saleem, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2022). CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications. <i>Scientific Data</i>. <a href=\"https://doi.org/10.1038/s41597-022-01298-2\">https://doi.org/10.1038/s41597-022-01298-2</a>","short":"S. Pestryakova, D. Vollmers, M. Sherif, S. Heindorf, M. Saleem, D. Moussallem, A.-C. 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