Listening Comprehension over Argumentative Content

Shachar Mirkin; Guy Moshkowich; Matan Orbach; Lili Kotlerman; Yoav Kantor; Tamar Lavee; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim

doi:10.18653/v1/D18-1078

Listening Comprehension over Argumentative Content

Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim

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Abstract

This paper presents a task for machine listening comprehension in the argumentation domain and a corresponding dataset in English. We recorded 200 spontaneous speeches arguing for or against 50 controversial topics. For each speech, we formulated a question, aimed at confirming or rejecting the occurrence of potential arguments in the speech. Labels were collected by listening to the speech and marking which arguments were mentioned by the speaker. We applied baseline methods addressing the task, to be used as a benchmark for future work over this dataset. All data used in this work is freely available for research.

Anthology ID:: D18-1078
Volume:: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Month:: October-November
Year:: 2018
Address:: Brussels, Belgium
Editors:: Ellen Riloff, David Chiang, Julia Hockenmaier, Jun’ichi Tsujii
Venue:: EMNLP
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 719–724
Language:
URL:: https://aclanthology.org/D18-1078/
DOI:: 10.18653/v1/D18-1078
Bibkey:
Cite (ACL):: Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, and Noam Slonim. 2018. Listening Comprehension over Argumentative Content. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 719–724, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):: Listening Comprehension over Argumentative Content (Mirkin et al., EMNLP 2018)
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PDF:: https://aclanthology.org/D18-1078.pdf

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@inproceedings{mirkin-etal-2018-listening,
    title = "Listening Comprehension over Argumentative Content",
    author = "Mirkin, Shachar  and
      Moshkowich, Guy  and
      Orbach, Matan  and
      Kotlerman, Lili  and
      Kantor, Yoav  and
      Lavee, Tamar  and
      Jacovi, Michal  and
      Bilu, Yonatan  and
      Aharonov, Ranit  and
      Slonim, Noam",
    editor = "Riloff, Ellen  and
      Chiang, David  and
      Hockenmaier, Julia  and
      Tsujii, Jun{'}ichi",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    month = oct # "-" # nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D18-1078/",
    doi = "10.18653/v1/D18-1078",
    pages = "719--724",
    abstract = "This paper presents a task for machine listening comprehension in the argumentation domain and a corresponding dataset in English. We recorded 200 spontaneous speeches arguing for or against 50 controversial topics. For each speech, we formulated a question, aimed at confirming or rejecting the occurrence of potential arguments in the speech. Labels were collected by listening to the speech and marking which arguments were mentioned by the speaker. We applied baseline methods addressing the task, to be used as a benchmark for future work over this dataset. All data used in this work is freely available for research."
}

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%0 Conference Proceedings
%T Listening Comprehension over Argumentative Content
%A Mirkin, Shachar
%A Moshkowich, Guy
%A Orbach, Matan
%A Kotlerman, Lili
%A Kantor, Yoav
%A Lavee, Tamar
%A Jacovi, Michal
%A Bilu, Yonatan
%A Aharonov, Ranit
%A Slonim, Noam
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F mirkin-etal-2018-listening
%X This paper presents a task for machine listening comprehension in the argumentation domain and a corresponding dataset in English. We recorded 200 spontaneous speeches arguing for or against 50 controversial topics. For each speech, we formulated a question, aimed at confirming or rejecting the occurrence of potential arguments in the speech. Labels were collected by listening to the speech and marking which arguments were mentioned by the speaker. We applied baseline methods addressing the task, to be used as a benchmark for future work over this dataset. All data used in this work is freely available for research.
%R 10.18653/v1/D18-1078
%U https://aclanthology.org/D18-1078/
%U https://doi.org/10.18653/v1/D18-1078
%P 719-724

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Markdown (Informal)

[Listening Comprehension over Argumentative Content](https://aclanthology.org/D18-1078/) (Mirkin et al., EMNLP 2018)

Listening Comprehension over Argumentative Content (Mirkin et al., EMNLP 2018)

ACL

Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, and Noam Slonim. 2018. Listening Comprehension over Argumentative Content. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 719–724, Brussels, Belgium. Association for Computational Linguistics.