Towards fully lexicalized dependency parsing for Korean

Jungyeul Park, Daisuke Kawahara, Sadao Kurohashi, Key Sun Choi

研究成果: Paper査読

3 被引用数 (Scopus)

抄録

We propose a Korean dependency parsing system that can learn the relationships between Korean words from the Treebank corpus and a large raw corpus. We first refine the training dataset to better represent the relationship using a different POS tagging granularity type. We also introduce lexical information and propose an almost fully lexicalized probabilistic model with case frames automatically extracted from a very large raw corpus. We evaluate and compare systems with and without POS granularity refinement and case frames. The proposed lexicalized method outperforms not only the baseline systems but also a state-of-the-art supervised dependency parser.

本文言語English
ページ120-126
ページ数7
出版ステータスPublished - 2013
外部発表はい
イベント13th International Conference on Parsing Technologies, IWPT 2013 - Nara, Japan
継続期間: 2013 11 272013 11 29

Conference

Conference13th International Conference on Parsing Technologies, IWPT 2013
国/地域Japan
CityNara
Period13/11/2713/11/29

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 言語学および言語

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