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Abstract
The state of bridging resolution research is rather unsatisfactory: not only are state-of-the-art resolvers evaluated in unrealistic settings, but the neural models underlying these resolvers are weaker than those used for entity coreference resolution. In light of these problems, we evaluate bridging resolvers in an end-to-end setting, strengthen them with better encoders, and attempt to gain a better understanding of them via perturbation experiments and a manual analysis of their outputs.- Anthology ID:
- 2022.coling-1.64
- 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:
- 766–778
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.64/
- DOI:
- Bibkey:
- Cite (ACL):
- Hideo Kobayashi, Yufang Hou, and Vincent Ng. 2022. End-to-End Neural Bridging Resolution. In Proceedings of the 29th International Conference on Computational Linguistics, pages 766–778, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- End-to-End Neural Bridging Resolution (Kobayashi et al., COLING 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.coling-1.64.pdf
- Data
- BASHI, ISNotes
Export citation
@inproceedings{kobayashi-etal-2022-end,
title = "End-to-End Neural Bridging Resolution",
author = "Kobayashi, Hideo and
Hou, Yufang and
Ng, Vincent",
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-1.64/",
pages = "766--778",
abstract = "The state of bridging resolution research is rather unsatisfactory: not only are state-of-the-art resolvers evaluated in unrealistic settings, but the neural models underlying these resolvers are weaker than those used for entity coreference resolution. In light of these problems, we evaluate bridging resolvers in an end-to-end setting, strengthen them with better encoders, and attempt to gain a better understanding of them via perturbation experiments and a manual analysis of their outputs."
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%0 Conference Proceedings %T End-to-End Neural Bridging Resolution %A Kobayashi, Hideo %A Hou, Yufang %A Ng, Vincent %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 kobayashi-etal-2022-end %X The state of bridging resolution research is rather unsatisfactory: not only are state-of-the-art resolvers evaluated in unrealistic settings, but the neural models underlying these resolvers are weaker than those used for entity coreference resolution. In light of these problems, we evaluate bridging resolvers in an end-to-end setting, strengthen them with better encoders, and attempt to gain a better understanding of them via perturbation experiments and a manual analysis of their outputs. %U https://aclanthology.org/2022.coling-1.64/ %P 766-778
Markdown (Informal)
[End-to-End Neural Bridging Resolution](https://aclanthology.org/2022.coling-1.64/) (Kobayashi et al., COLING 2022)
- End-to-End Neural Bridging Resolution (Kobayashi et al., COLING 2022)
ACL
- Hideo Kobayashi, Yufang Hou, and Vincent Ng. 2022. End-to-End Neural Bridging Resolution. In Proceedings of the 29th International Conference on Computational Linguistics, pages 766–778, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.