Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon

Seohyun Song, Eunkyul Leah Jo, Yige Chen, Jeen-Pyo Hong, Kyuwon Kim +5 more
10/1/2024
cs.CL

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Abstract

The Sejong dictionary dataset offers a valuable resource, providing extensive coverage of morphology, syntax, and semantic representation. This dataset can be utilized to explore linguistic information in greater depth. The labeled linguistic structures within this dataset form the basis for uncovering relationships between words and phrases and their associations with target verbs. This paper introduces a user-friendly web interface designed for the collection and consolidation of verb-related information, with a particular focus on subcategorization frames. Additionally, it outlines our efforts in mapping this information by aligning subcategorization frames with corresponding illustrative sentence examples. Furthermore, we provide a Python library that would simplify syntactic parsing and semantic role labeling. These tools are intended to assist individuals interested in harnessing the Sejong dictionary dataset to develop applications for Korean language processing.

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Cite this paper

@article{song2024unlocking,
  title  = {Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon},
  author = {Seohyun Song and Eunkyul Leah Jo and Yige Chen and Jeen-Pyo Hong and Kyuwon Kim and Jin Wee and Miyoung Kang and KyungTae Lim and Jungyeul Park and Chulwoo Park},
  year   = {2024},
  eprint = {2410.01100},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.01100v3}
}

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