---
_id: '25211'
author:
- first_name: Daniel
  full_name: Vollmers, Daniel
  last_name: Vollmers
- first_name: Rricha
  full_name: Jalota, Rricha
  id: '69526'
  last_name: Jalota
- first_name: Diego
  full_name: Moussallem, Diego
  id: '71635'
  last_name: Moussallem
- first_name: Hardik
  full_name: Topiwala, Hardik
  last_name: Topiwala
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
- first_name: Ricardo
  full_name: Usbeck, Ricardo
  last_name: Usbeck
citation:
  ama: Vollmers D, Jalota R, Moussallem D, Topiwala H, Ngonga Ngomo A-C, Usbeck R.
    Knowledge Graph Question Answering using Graph-Pattern Isomorphism. <i>CoRR</i>.
    2021;abs/2103.06752.
  apa: Vollmers, D., Jalota, R., Moussallem, D., Topiwala, H., Ngonga Ngomo, A.-C.,
    &#38; Usbeck, R. (2021). Knowledge Graph Question Answering using Graph-Pattern
    Isomorphism. <i>CoRR</i>, <i>abs/2103.06752</i>.
  bibtex: '@article{Vollmers_Jalota_Moussallem_Topiwala_Ngonga Ngomo_Usbeck_2021,
    title={Knowledge Graph Question Answering using Graph-Pattern Isomorphism}, volume={abs/2103.06752},
    journal={CoRR}, author={Vollmers, Daniel and Jalota, Rricha and Moussallem, Diego
    and Topiwala, Hardik and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}, year={2021}
    }'
  chicago: Vollmers, Daniel, Rricha Jalota, Diego Moussallem, Hardik Topiwala, Axel-Cyrille
    Ngonga Ngomo, and Ricardo Usbeck. “Knowledge Graph Question Answering Using Graph-Pattern
    Isomorphism.” <i>CoRR</i> abs/2103.06752 (2021).
  ieee: D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, and
    R. Usbeck, “Knowledge Graph Question Answering using Graph-Pattern Isomorphism,”
    <i>CoRR</i>, vol. abs/2103.06752, 2021.
  mla: Vollmers, Daniel, et al. “Knowledge Graph Question Answering Using Graph-Pattern
    Isomorphism.” <i>CoRR</i>, vol. abs/2103.06752, 2021.
  short: D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, R.
    Usbeck, CoRR abs/2103.06752 (2021).
date_created: 2021-10-01T06:51:45Z
date_updated: 2022-01-06T06:56:55Z
department:
- _id: '574'
language:
- iso: eng
publication: CoRR
status: public
title: Knowledge Graph Question Answering using Graph-Pattern Isomorphism
type: journal_article
user_id: '65716'
volume: abs/2103.06752
year: '2021'
...
---
_id: '29043'
abstract:
- lang: eng
  text: 'Social media plays a significant role in disaster management by providing
    valuable data about affected people, donations and help requests. Recent studies
    highlight the need to filter information on social media into fine-grained content
    labels. However, identifying useful information from massive amounts of social
    media posts during a crisis is a challenging task. In this paper, we propose I-AID,
    a multimodel approach to automatically categorize tweets into multi-label information
    types and filter critical information from the enormous volume of social media
    data. I-AID incorporates three main components: i) a BERT- based encoder to capture
    the semantics of a tweet and represent as a low-dimensional vector, ii) a graph
    attention network (GAT) to apprehend correlations between tweets’ words/entities
    and the corresponding information types, and iii) a Relation Network as a learnable
    distance metric to compute the similarity between tweets and their corresponding
    information types in a supervised way. We conducted several experiments on two
    real publicly-available datasets. Our results indicate that I-AID outperforms
    state-of- the-art approaches in terms of weighted average F1 score by +6% and
    +4% on the TREC-IS dataset and COVID-19 Tweets, respectively.'
author:
- first_name: Hamada Mohamed Abdelsamee
  full_name: Zahera, Hamada Mohamed Abdelsamee
  id: '72768'
  last_name: Zahera
  orcid: 0000-0003-0215-1278
- first_name: Rricha
  full_name: Jalota, Rricha
  id: '69526'
  last_name: Jalota
- 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: 'Zahera HMA, Jalota R, Sherif M, Ngonga Ngomo A-C. I-AID: Identifying Actionable
    Information from Disaster-related Tweets. In: <i>IEEE Open Access</i>. ; 2021.'
  apa: 'Zahera, H. M. A., Jalota, R., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2021).
    I-AID: Identifying Actionable Information from Disaster-related Tweets. <i>IEEE
    Open Access</i>.'
  bibtex: '@inproceedings{Zahera_Jalota_Sherif_Ngonga Ngomo_2021, title={I-AID: Identifying
    Actionable Information from Disaster-related Tweets}, booktitle={IEEE Open Access},
    author={Zahera, Hamada Mohamed Abdelsamee and Jalota, Rricha and Sherif, Mohamed
    and Ngonga Ngomo, Axel-Cyrille}, year={2021} }'
  chicago: 'Zahera, Hamada Mohamed Abdelsamee, Rricha Jalota, Mohamed Sherif, and
    Axel-Cyrille Ngonga Ngomo. “I-AID: Identifying Actionable Information from Disaster-Related
    Tweets.” In <i>IEEE Open Access</i>, 2021.'
  ieee: 'H. M. A. Zahera, R. Jalota, M. Sherif, and A.-C. Ngonga Ngomo, “I-AID: Identifying
    Actionable Information from Disaster-related Tweets,” 2021.'
  mla: 'Zahera, Hamada Mohamed Abdelsamee, et al. “I-AID: Identifying Actionable Information
    from Disaster-Related Tweets.” <i>IEEE Open Access</i>, 2021.'
  short: 'H.M.A. Zahera, R. Jalota, M. Sherif, A.-C. Ngonga Ngomo, in: IEEE Open Access,
    2021.'
date_created: 2021-12-17T10:06:30Z
date_updated: 2023-08-16T09:35:42Z
keyword:
- sys:relevantFor:infai sys:relevantFor:DAIKIRI ngonga zahera sherif daikiriproject
  dice simba
language:
- iso: eng
publication: IEEE Open Access
status: public
title: 'I-AID: Identifying Actionable Information from Disaster-related Tweets'
type: conference
user_id: '67234'
year: '2021'
...
---
_id: '29003'
abstract:
- lang: eng
  text: In this paper, we describe our approach to classify disaster-related tweets
    into multilabel information types (ie, labels). We aim to filter first relevant
    tweets during disasters. Then, we assign tweets relevant information types. Information
    types can be SearchAndRescue, MovePeople and Volunteer. We employ a fine-tuned
    BERT model with 10 BERT layers. Further, we submitted our approach to the TREC-IS
    2019 challenge, the evaluation results showed that our approach outperforms the
    F1-score of median score in identifying actionable information.
author:
- first_name: Hamada Mohamed Abdelsamee
  full_name: Zahera, Hamada Mohamed Abdelsamee
  id: '72768'
  last_name: Zahera
  orcid: 0000-0003-0215-1278
- first_name: Ibrahim
  full_name: A. Elgendy, Ibrahim
  last_name: A. Elgendy
- first_name: Rricha
  full_name: Jalota, Rricha
  id: '69526'
  last_name: Jalota
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
citation:
  ama: 'Zahera HMA, A. Elgendy I, Jalota R, Sherif M. Fine-tuned BERT Model for Multi-Label
    Tweets Classification. In: <i>Proceedings of the Twenty-Eighth Text REtrieval
    Conference, {TREC} 2019, Gaithersburg, Maryland, USA, November 13-15, 2019</i>.
    ; 2019.'
  apa: Zahera, H. M. A., A. Elgendy, I., Jalota, R., &#38; Sherif, M. (2019). Fine-tuned
    BERT Model for Multi-Label Tweets Classification. <i>Proceedings of the Twenty-Eighth
    Text REtrieval Conference, {TREC} 2019, Gaithersburg, Maryland, USA, November
    13-15, 2019</i>.
  bibtex: '@inproceedings{Zahera_A. Elgendy_Jalota_Sherif_2019, title={Fine-tuned
    BERT Model for Multi-Label Tweets Classification}, booktitle={Proceedings of the
    Twenty-Eighth Text REtrieval Conference, {TREC} 2019, Gaithersburg, Maryland,
    USA, November 13-15, 2019}, author={Zahera, Hamada Mohamed Abdelsamee and A. Elgendy,
    Ibrahim and Jalota, Rricha and Sherif, Mohamed}, year={2019} }'
  chicago: Zahera, Hamada Mohamed Abdelsamee, Ibrahim A. Elgendy, Rricha Jalota, and
    Mohamed Sherif. “Fine-Tuned BERT Model for Multi-Label Tweets Classification.”
    In <i>Proceedings of the Twenty-Eighth Text REtrieval Conference, {TREC} 2019,
    Gaithersburg, Maryland, USA, November 13-15, 2019</i>, 2019.
  ieee: H. M. A. Zahera, I. A. Elgendy, R. Jalota, and M. Sherif, “Fine-tuned BERT
    Model for Multi-Label Tweets Classification,” 2019.
  mla: Zahera, Hamada Mohamed Abdelsamee, et al. “Fine-Tuned BERT Model for Multi-Label
    Tweets Classification.” <i>Proceedings of the Twenty-Eighth Text REtrieval Conference,
    {TREC} 2019, Gaithersburg, Maryland, USA, November 13-15, 2019</i>, 2019.
  short: 'H.M.A. Zahera, I. A. Elgendy, R. Jalota, M. Sherif, in: Proceedings of the
    Twenty-Eighth Text REtrieval Conference, {TREC} 2019, Gaithersburg, Maryland,
    USA, November 13-15, 2019, 2019.'
date_created: 2021-12-17T09:48:17Z
date_updated: 2023-08-16T09:25:34Z
keyword:
- zahera elgendy jalota sherif dice
language:
- iso: eng
publication: Proceedings of the Twenty-Eighth Text REtrieval Conference, {TREC} 2019,
  Gaithersburg, Maryland, USA, November 13-15, 2019
status: public
title: Fine-tuned BERT Model for Multi-Label Tweets Classification
type: conference
user_id: '67234'
year: '2019'
...
---
_id: '57286'
author:
- first_name: Rricha
  full_name: Jalota, Rricha
  id: '69526'
  last_name: Jalota
- 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: René
  full_name: Speck, René
  id: '70843'
  last_name: Speck
- first_name: Michael
  full_name: Röder, Michael
  id: '67199'
  last_name: Röder
  orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Ricardo
  full_name: Usbeck, Ricardo
  last_name: Usbeck
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Jalota R, Srivastava N, Vollmers D, et al. Finding Datasets in Publications:
    The University of Paderborn Approach. In: <i>Rich Search and Discovery for Research
    Datasets</i>. SAGE Publications; 2019.'
  apa: 'Jalota, R., Srivastava, N., Vollmers, D., Speck, R., Röder, M., Usbeck, R.,
    &#38; Ngonga Ngomo, A.-C. (2019). Finding Datasets in Publications: The University
    of Paderborn Approach. In <i>Rich Search and Discovery for Research Datasets</i>.
    SAGE Publications.'
  bibtex: '@inbook{Jalota_Srivastava_Vollmers_Speck_Röder_Usbeck_Ngonga Ngomo_2019,
    title={Finding Datasets in Publications: The University of Paderborn Approach},
    booktitle={Rich Search and Discovery for Research Datasets}, publisher={SAGE Publications},
    author={Jalota, Rricha and Srivastava, Nikit and Vollmers, Daniel and Speck, René
    and Röder, Michael and Usbeck, Ricardo and Ngonga Ngomo, Axel-Cyrille}, year={2019}
    }'
  chicago: 'Jalota, Rricha, Nikit Srivastava, Daniel Vollmers, René Speck, Michael
    Röder, Ricardo Usbeck, and Axel-Cyrille Ngonga Ngomo. “Finding Datasets in Publications:
    The University of Paderborn Approach.” In <i>Rich Search and Discovery for Research
    Datasets</i>. SAGE Publications, 2019.'
  ieee: 'R. Jalota <i>et al.</i>, “Finding Datasets in Publications: The University
    of Paderborn Approach,” in <i>Rich Search and Discovery for Research Datasets</i>,
    SAGE Publications, 2019.'
  mla: 'Jalota, Rricha, et al. “Finding Datasets in Publications: The University of
    Paderborn Approach.” <i>Rich Search and Discovery for Research Datasets</i>, SAGE
    Publications, 2019.'
  short: 'R. Jalota, N. Srivastava, D. Vollmers, R. Speck, M. Röder, R. Usbeck, A.-C.
    Ngonga Ngomo, in: Rich Search and Discovery for Research Datasets, SAGE Publications,
    2019.'
date_created: 2024-11-20T10:44:54Z
date_updated: 2024-11-20T10:53:14Z
keyword:
- dice jalota ngonga roeder speck srivastava vollmers
language:
- iso: eng
publication: Rich Search and Discovery for Research Datasets
publisher: SAGE Publications
status: public
title: 'Finding Datasets in Publications: The University of Paderborn Approach'
type: book_chapter
user_id: '70066'
year: '2019'
...