ThaiCoref: Thai Coreference Resolution Dataset
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Abstract (arXiv)
While coreference resolution is a well-established research area in Natural Language Processing (NLP), research focusing on Thai language remains limited due to the lack of large annotated corpora. In this work, we introduce ThaiCoref, a dataset for Thai coreference resolution. Our dataset comprises 777,271 tokens, 44,082 mentions and 10,429 entities across four text genres: university essays, newspapers, speeches, and Wikipedia. Our annotation scheme is built upon the OntoNotes benchmark with adjustments to address Thai-specific phenomena. Utilizing ThaiCoref, we train models employing a multilingual encoder and cross-lingual transfer techniques, achieving a best F1 score of 67.88% on the test set. Error analysis reveals challenges posed by Thai's unique linguistic features. To benefit the NLP community, we make the dataset and the model publicly available at http://www.github.com/nlp-chula/thai-coref .
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33 of 98 references.
References · 33
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21 more
- 2019An Annotated Dataset of Coreference in English Literaturecited by 57
- 2021Coreference Resolution without Span Representationscited by 45
- 2022Autoregressive Structured Prediction with Language Modelscited by 43
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- 2023BenCoref: A Multi-Domain Dataset of Nominal Phrases and Pronominal Reference Annotationscited by 1
- 2024KoCoNovel: Annotated Dataset of Character Coreference in Korean Novelscited by 1
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