When the Misidentified Adverbial Phrase Functions as a Complement

Yige Chen, Kyuwon Kim, KyungTae Lim, Jungyeul Park, Chulwoo Park


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.
Anthology ID:
2024.findings-emnlp.718
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2024
Month:
November
Year:
2024
Address:
Miami, Florida, USA
Editors:
Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
12326–12336
Language:
URL:
https://aclanthology.org/2024.findings-emnlp.718
DOI:
10.18653/v1/2024.findings-emnlp.718
Bibkey:
Cite (ACL):
Yige Chen, Kyuwon Kim, KyungTae Lim, Jungyeul Park, and Chulwoo Park. 2024. When the Misidentified Adverbial Phrase Functions as a Complement. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 12326–12336, Miami, Florida, USA. Association for Computational Linguistics.
Cite (Informal):
When the Misidentified Adverbial Phrase Functions as a Complement (Chen et al., Findings 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.findings-emnlp.718.pdf