Question Answering Using Hierarchical Attention on Top of BERT Features

Reham Osama; Nagwa M. El-Makky; Marwan Torki

doi:10.18653/v1/D19-5825

Question Answering Using Hierarchical Attention on Top of BERT Features

Reham Osama, Nagwa El-Makky, Marwan Torki

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Abstract

The model submitted works as follows. When supplied a question and a passage it makes use of the BERT embedding along with the hierarchical attention model which consists of 2 parts, the co-attention and the self-attention, to locate a continuous span of the passage that is the answer to the question.

Anthology ID:: D19-5825
Volume:: Proceedings of the 2nd Workshop on Machine Reading for Question Answering
Month:: November
Year:: 2019
Address:: Hong Kong, China
Editors:: Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen
Venue:: WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 191–195
Language:
URL:: https://aclanthology.org/D19-5825/
DOI:: 10.18653/v1/D19-5825
Bibkey:
Cite (ACL):: Reham Osama, Nagwa El-Makky, and Marwan Torki. 2019. Question Answering Using Hierarchical Attention on Top of BERT Features. In Proceedings of the 2nd Workshop on Machine Reading for Question Answering, pages 191–195, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):: Question Answering Using Hierarchical Attention on Top of BERT Features (Osama et al., 2019)
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PDF:: https://aclanthology.org/D19-5825.pdf

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@inproceedings{osama-etal-2019-question,
    title = "Question Answering Using Hierarchical Attention on Top of {BERT} Features",
    author = "Osama, Reham  and
      El-Makky, Nagwa  and
      Torki, Marwan",
    editor = "Fisch, Adam  and
      Talmor, Alon  and
      Jia, Robin  and
      Seo, Minjoon  and
      Choi, Eunsol  and
      Chen, Danqi",
    booktitle = "Proceedings of the 2nd Workshop on Machine Reading for Question Answering",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-5825/",
    doi = "10.18653/v1/D19-5825",
    pages = "191--195",
    abstract = "The model submitted works as follows. When supplied a question and a passage it makes use of the BERT embedding along with the hierarchical attention model which consists of 2 parts, the co-attention and the self-attention, to locate a continuous span of the passage that is the answer to the question."
}

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%0 Conference Proceedings
%T Question Answering Using Hierarchical Attention on Top of BERT Features
%A Osama, Reham
%A El-Makky, Nagwa
%A Torki, Marwan
%Y Fisch, Adam
%Y Talmor, Alon
%Y Jia, Robin
%Y Seo, Minjoon
%Y Choi, Eunsol
%Y Chen, Danqi
%S Proceedings of the 2nd Workshop on Machine Reading for Question Answering
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F osama-etal-2019-question
%X The model submitted works as follows. When supplied a question and a passage it makes use of the BERT embedding along with the hierarchical attention model which consists of 2 parts, the co-attention and the self-attention, to locate a continuous span of the passage that is the answer to the question.
%R 10.18653/v1/D19-5825
%U https://aclanthology.org/D19-5825/
%U https://doi.org/10.18653/v1/D19-5825
%P 191-195

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Markdown (Informal)

[Question Answering Using Hierarchical Attention on Top of BERT Features](https://aclanthology.org/D19-5825/) (Osama et al., 2019)

Question Answering Using Hierarchical Attention on Top of BERT Features (Osama et al., 2019)

ACL

Reham Osama, Nagwa El-Makky, and Marwan Torki. 2019. Question Answering Using Hierarchical Attention on Top of BERT Features. In Proceedings of the 2nd Workshop on Machine Reading for Question Answering, pages 191–195, Hong Kong, China. Association for Computational Linguistics.