Two-Phase Shallow Semantic Parsing based on Partial Syntactic Parsing 


Vol. 17,  No. 1, pp. 85-92, Feb.  2010
10.3745/KIPSTB.2010.17.1.85


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  Abstract

A shallow semantic parsing system analyzes the relationship that a syntactic constituent of the sentence has with a predicate. It identifies semantic arguments representing agent, patient, instrument, etc. of the predicate. In this study, we propose a two-phase shallow semantic parsing model which consists of the identification phase and the classification phase. We first find the boundary of semantic arguments from partial syntactic parsing results, and then assign appropriate semantic roles to the identified semantic arguments. By taking the sequential two-phase approach, we can alleviate the unbalanced class distribution problem, and select the features appropriate for each task. Experiments show the relative contribution of each phase on the test data.

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[IEEE Style]

K. M. Park and Y. S. Mun, "Two-Phase Shallow Semantic Parsing based on Partial Syntactic Parsing," The KIPS Transactions:PartB , vol. 17, no. 1, pp. 85-92, 2010. DOI: 10.3745/KIPSTB.2010.17.1.85.

[ACM Style]

Kyung Mi Park and Young Song Mun. 2010. Two-Phase Shallow Semantic Parsing based on Partial Syntactic Parsing. The KIPS Transactions:PartB , 17, 1, (2010), 85-92. DOI: 10.3745/KIPSTB.2010.17.1.85.

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