@inproceedings{suwannapichat-etal-2024-z,
title = "{Z}-coref: {T}hai Coreference and Zero Pronoun Resolution",
author = "Suwannapichat, Poomphob and
Tarnpradab, Sansiri and
Prom-on, Santitham",
editor = "Fu, Xiyan and
Fleisig, Eve",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-srw.12",
pages = "132--139",
abstract = "Coreference Resolution (CR) and Zero Pronoun Resolution (ZPR) are vital for extracting meaningful information from text. However, limited research and datasets pose significant challenges in Thai language. To address this, we developed an annotated joint CR and ZPR dataset. Additionally, we introduced the Z-coref model, capable of simultaneously handling CR and ZPR tasks by adjusting the span definition of a prior CR architecture to include token gaps. The proposed model trained on our dataset outperformed the state-of-the-art in resolving both coreference resolution and zero-pronoun resolution, while taking less time to train.",
}
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%0 Conference Proceedings
%T Z-coref: Thai Coreference and Zero Pronoun Resolution
%A Suwannapichat, Poomphob
%A Tarnpradab, Sansiri
%A Prom-on, Santitham
%Y Fu, Xiyan
%Y Fleisig, Eve
%S Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F suwannapichat-etal-2024-z
%X Coreference Resolution (CR) and Zero Pronoun Resolution (ZPR) are vital for extracting meaningful information from text. However, limited research and datasets pose significant challenges in Thai language. To address this, we developed an annotated joint CR and ZPR dataset. Additionally, we introduced the Z-coref model, capable of simultaneously handling CR and ZPR tasks by adjusting the span definition of a prior CR architecture to include token gaps. The proposed model trained on our dataset outperformed the state-of-the-art in resolving both coreference resolution and zero-pronoun resolution, while taking less time to train.
%U https://aclanthology.org/2024.acl-srw.12
%P 132-139
Markdown (Informal)
[Z-coref: Thai Coreference and Zero Pronoun Resolution](https://aclanthology.org/2024.acl-srw.12) (Suwannapichat et al., ACL 2024)
ACL
- Poomphob Suwannapichat, Sansiri Tarnpradab, and Santitham Prom-on. 2024. Z-coref: Thai Coreference and Zero Pronoun Resolution. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 132–139, Bangkok, Thailand. Association for Computational Linguistics.