Automatic construction of Korean verbal type hierarchy using Treebank

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DOI:

https://doi.org/10.21248/hpsg.2008.12

Abstract

The lexical information of verbal lexemes, such as verbs and adjectives, plays an important role in syntactic parsing, because the structure of a sentence mainly hinges on the type of verbal lexemes. The question we address in this research is how to acquire the argument structure (henceforth ARG-ST) of verbal lexemes in Korean. It is well known that manual build-up of type hierarchy usually cost too much time and resources, so an alternative method, namely automatic collection of relevant information is much more preferred. This paper proposes a procedure to automatically collect ARG-ST of Korean verbal lexemes from a Korean Treebank. Specifically, the system we develop in this paper first extracts lexical information of ARG-ST of verbal lexemes from a 0.8 million graphic word Korean Treebank in an unsupervised way, checks the hierarchical relationship among them, and builds up the type hierarchy automatically. The result is written in an HPSG-style annotation, thus making it possible to readily implement the result in an HPSG-based parser for Korean. Finally, the result is evaluated with reference to two Korean dictionaries and also with respect to a manually constructed type hierarchy.

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Published

2008-10-16

How to Cite

Song, Sanghoun & Choe, Jae-Woong. 2008. Automatic construction of Korean verbal type hierarchy using Treebank. Proceedings of the 15th International Conference on Head-Driven Phrase Structure Grammar 204–221. (doi:10.21248/hpsg.2008.12) (https://proceedings.hpsg.xyz/article/view/697) (Accessed June 19, 2024.)