Re-Examining FactBank: Predicting the Author’s Presentation of Factuality

John Murzaku; Peter Zeng; Magdalena Markowska; Owen Rambow

Re-Examining FactBank: Predicting the Author’s Presentation of Factuality

John Murzaku, Peter Zeng, Magdalena Markowska, Owen Rambow

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Abstract

We present a corrected version of a subset of the FactBank data set. Previously published results on FactBank are no longer valid. We perform experiments on FactBank using multiple training paradigms, data smoothing techniques, and polarity classifiers. We argue that f-measure is an important alternative evaluation metric for factuality. We provide new state-of-the-art results for four corpora including FactBank. We perform an error analysis on Factbank combined with two similar corpora.

Anthology ID:: 2022.coling-1.66
Volume:: Proceedings of the 29th International Conference on Computational Linguistics
Month:: October
Year:: 2022
Address:: Gyeongju, Republic of Korea
Editors:: Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
Venue:: COLING
SIG:
Publisher:: International Committee on Computational Linguistics
Note:
Pages:: 786–796
Language:
URL:: https://aclanthology.org/2022.coling-1.66/
DOI:
Bibkey:
Cite (ACL):: John Murzaku, Peter Zeng, Magdalena Markowska, and Owen Rambow. 2022. Re-Examining FactBank: Predicting the Author’s Presentation of Factuality. In Proceedings of the 29th International Conference on Computational Linguistics, pages 786–796, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):: Re-Examining FactBank: Predicting the Author’s Presentation of Factuality (Murzaku et al., COLING 2022)
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PDF:: https://aclanthology.org/2022.coling-1.66.pdf

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@inproceedings{murzaku-etal-2022-examining,
    title = "Re-Examining {F}act{B}ank: Predicting the Author{'}s Presentation of Factuality",
    author = "Murzaku, John  and
      Zeng, Peter  and
      Markowska, Magdalena  and
      Rambow, Owen",
    editor = "Calzolari, Nicoletta  and
      Huang, Chu-Ren  and
      Kim, Hansaem  and
      Pustejovsky, James  and
      Wanner, Leo  and
      Choi, Key-Sun  and
      Ryu, Pum-Mo  and
      Chen, Hsin-Hsi  and
      Donatelli, Lucia  and
      Ji, Heng  and
      Kurohashi, Sadao  and
      Paggio, Patrizia  and
      Xue, Nianwen  and
      Kim, Seokhwan  and
      Hahm, Younggyun  and
      He, Zhong  and
      Lee, Tony Kyungil  and
      Santus, Enrico  and
      Bond, Francis  and
      Na, Seung-Hoon",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2022.coling-1.66/",
    pages = "786--796",
    abstract = "We present a corrected version of a subset of the FactBank data set. Previously published results on FactBank are no longer valid. We perform experiments on FactBank using multiple training paradigms, data smoothing techniques, and polarity classifiers. We argue that f-measure is an important alternative evaluation metric for factuality. We provide new state-of-the-art results for four corpora including FactBank. We perform an error analysis on Factbank combined with two similar corpora."
}

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%0 Conference Proceedings
%T Re-Examining FactBank: Predicting the Author’s Presentation of Factuality
%A Murzaku, John
%A Zeng, Peter
%A Markowska, Magdalena
%A Rambow, Owen
%Y Calzolari, Nicoletta
%Y Huang, Chu-Ren
%Y Kim, Hansaem
%Y Pustejovsky, James
%Y Wanner, Leo
%Y Choi, Key-Sun
%Y Ryu, Pum-Mo
%Y Chen, Hsin-Hsi
%Y Donatelli, Lucia
%Y Ji, Heng
%Y Kurohashi, Sadao
%Y Paggio, Patrizia
%Y Xue, Nianwen
%Y Kim, Seokhwan
%Y Hahm, Younggyun
%Y He, Zhong
%Y Lee, Tony Kyungil
%Y Santus, Enrico
%Y Bond, Francis
%Y Na, Seung-Hoon
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F murzaku-etal-2022-examining
%X We present a corrected version of a subset of the FactBank data set. Previously published results on FactBank are no longer valid. We perform experiments on FactBank using multiple training paradigms, data smoothing techniques, and polarity classifiers. We argue that f-measure is an important alternative evaluation metric for factuality. We provide new state-of-the-art results for four corpora including FactBank. We perform an error analysis on Factbank combined with two similar corpora.
%U https://aclanthology.org/2022.coling-1.66/
%P 786-796

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Markdown (Informal)

[Re-Examining FactBank: Predicting the Author’s Presentation of Factuality](https://aclanthology.org/2022.coling-1.66/) (Murzaku et al., COLING 2022)

Re-Examining FactBank: Predicting the Author’s Presentation of Factuality (Murzaku et al., COLING 2022)

ACL

John Murzaku, Peter Zeng, Magdalena Markowska, and Owen Rambow. 2022. Re-Examining FactBank: Predicting the Author’s Presentation of Factuality. In Proceedings of the 29th International Conference on Computational Linguistics, pages 786–796, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.