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20222026
most citedKorean Named Entity Recognition Based on Language-Specific Features

6 citations · 8 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2026

Representing and Parsing Korean Constituency Structure at Different Levels of Granularity

Jungyeul Park, KyungTae Lim, Zihao Huang +3

Korean constituency parsing raises a representational challenge because the terminal units of a phrase-structure tree do not straightforwardly correspond to simple surface words. K…

cs.CL2026

Better heads do not guarantee better binarized constituency parsing

Zeyao Qi, Yige Chen, Eitan Klinger +2

We revisit punctuation-aware tree binarization for constituency parsing and ask whether dependency-induced headedness improves binary parser supervision. Although learned heads sub…

cs.CL2026

Learning Constituent Headedness

Zeyao Qi, Yige Chen, KyungTae Lim +2

Headedness is widely used as an organizing device in syntactic analysis, yet constituency treebanks rarely encode it explicitly and most processing pipelines recover it procedurall…

cs.CL2025

A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction

Eitan Klinger, Zihao Huang, Tran Minh Nguyen +7

Evaluating grammatical error correction requires metrics that reflect the diversity of valid human corrections rather than privileging a single reference. Existing frameworks, larg…

cs.CL2025

Enhancing Korean Dependency Parsing with Morphosyntactic Features

Jungyeul Park, Yige Chen, Kyuwon Kim +2

This paper introduces UniDive for Korean, an integrated framework that bridges Universal Dependencies (UD) and Universal Morphology (UniMorph) to enhance the representation and pro…

cs.CL2025

Parsing Through Boundaries in Chinese Word Segmentation

Yige Chen, Zelong Li, Cindy Zhang +7

Chinese word segmentation is a foundational task in natural language processing (NLP), with far-reaching effects on syntactic analysis. Unlike alphabetic languages like English, Ch…

cs.CL2024

K-UD: Revising Korean Universal Dependencies Guidelines

Kyuwon Kim, Yige Chen, Eunkyul Leah Jo +3

Critique has surfaced concerning the existing linguistic annotation framework for Korean Universal Dependencies (UDs), particularly in relation to syntactic relationships. In this…

cs.CL2024

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

Seohyun Song, Eunkyul Leah Jo, Yige Chen +7

The Sejong dictionary dataset offers a valuable resource, providing extensive coverage of morphology, syntax, and semantic representation. This dataset can be utilized to explore l…

cs.CL2023★ 6 cited

Korean Named Entity Recognition Based on Language-Specific Features

Yige Chen, KyungTae Lim, Jungyeul Park

In the paper, we propose a novel way of improving named entity recognition in the Korean language using its language-specific features. While the field of named entity recognition…

cs.CL2022★ 2 cited

Yet Another Format of Universal Dependencies for Korean

Yige Chen, Eunkyul Leah Jo, Yundong Yao +4

In this study, we propose a morpheme-based scheme for Korean dependency parsing and adopt the proposed scheme to Universal Dependencies. We present the linguistic rationale that il…