---
_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'
...