A Dependency Parser of Korean Based on Connectionist/ Symbolic Techniques
EPIA '95 Proceedings of the 7th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Natural Language Engineering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Making sense of Japanese relative clause constructions
TextMean '04 Proceedings of the 2nd Workshop on Text Meaning and Interpretation
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This paper describes an approach to identifying the syntactic role of an antecedent in a Korean relative clause, which is essential to structural disambiguation and semantic analysis. In a learning phase, linguistic knowledge such as conceptual co-occurrence patterns and syntactic role distribution of antecedents is extracted from a large-scale corpus. Then, in an application phase, the extracted knowledge is applied in determining the correct syntactic role of an antecedent in relative clauses. Unlike previous research based on co-occurrence patterns at the lexical level, we represent co-occurrence patterns with concept types in a thesaurus. In an experiment, the proposed method showed a high accuracy rate of 90.4% in resolving ambiguities of syntactic role determination of antecedents.