@inproceedings{chen-etal-2024-misidentified,
title = "When the Misidentified Adverbial Phrase Functions as a Complement",
author = "Chen, Yige and
Kim, Kyuwon and
Lim, KyungTae and
Park, Jungyeul and
Park, Chulwoo",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.718",
doi = "10.18653/v1/2024.findings-emnlp.718",
pages = "12326--12336",
abstract = "This study investigates the predicate-argument structure in Korean language processing. Despite the importance of distinguishing mandatory arguments and optional modifiers in sentences, research in this area has been limited. We introduce a dataset with token-level annotations which labels mandatory and optional elements as complements and adjuncts, respectively. Particularly, we reclassify certain Korean phrases, previously misidentified as adverbial phrases, as complements, addressing misuses of the term adjunct in existing Korean treebanks. Utilizing a Korean dependency treebank, we develop an automatic labeling technique for complements and adjuncts. Experiments using the proposed dataset yield satisfying results, demonstrating that the dataset is trainable and reliable.",
}
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<abstract>This study investigates the predicate-argument structure in Korean language processing. Despite the importance of distinguishing mandatory arguments and optional modifiers in sentences, research in this area has been limited. We introduce a dataset with token-level annotations which labels mandatory and optional elements as complements and adjuncts, respectively. Particularly, we reclassify certain Korean phrases, previously misidentified as adverbial phrases, as complements, addressing misuses of the term adjunct in existing Korean treebanks. Utilizing a Korean dependency treebank, we develop an automatic labeling technique for complements and adjuncts. Experiments using the proposed dataset yield satisfying results, demonstrating that the dataset is trainable and reliable.</abstract>
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%0 Conference Proceedings
%T When the Misidentified Adverbial Phrase Functions as a Complement
%A Chen, Yige
%A Kim, Kyuwon
%A Lim, KyungTae
%A Park, Jungyeul
%A Park, Chulwoo
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F chen-etal-2024-misidentified
%X This study investigates the predicate-argument structure in Korean language processing. Despite the importance of distinguishing mandatory arguments and optional modifiers in sentences, research in this area has been limited. We introduce a dataset with token-level annotations which labels mandatory and optional elements as complements and adjuncts, respectively. Particularly, we reclassify certain Korean phrases, previously misidentified as adverbial phrases, as complements, addressing misuses of the term adjunct in existing Korean treebanks. Utilizing a Korean dependency treebank, we develop an automatic labeling technique for complements and adjuncts. Experiments using the proposed dataset yield satisfying results, demonstrating that the dataset is trainable and reliable.
%R 10.18653/v1/2024.findings-emnlp.718
%U https://aclanthology.org/2024.findings-emnlp.718
%U https://doi.org/10.18653/v1/2024.findings-emnlp.718
%P 12326-12336
Markdown (Informal)
[When the Misidentified Adverbial Phrase Functions as a Complement](https://aclanthology.org/2024.findings-emnlp.718) (Chen et al., Findings 2024)
ACL