Semantic labeling of chinese serial verb sentences based on feature structure

Authors:
Bo Chen;Hongmiao Wu;Chen Lv;Hua Yang;Donghong Ji
Affiliations:
Dept of Language & Literature, Hubei University of Art & Science, Xiangyang, China, Computer School, Wuhan University, Wuhan, China;School of Foreign Languages & Literature, Wuhan University, Wuhan, China;Computer School, Wuhan University, Wuhan, China;Computer School, Wuhan University, Wuhan, China;Computer School, Wuhan University, Wuhan, China
Venue:
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Year:
2012

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Abstract

Parsing Chinese serial verb sentences is a key issue in NLP. Many controversies arise from serial verb sentences. This paper puts forward a novel model "the Feature Structure theory" to resolve the semantic labeling of Chinese serial verb sentences. We analyze the difficulties in annotating these sentences, and compare Feature Structure with traditional dependency structure. Feature Structure represents more semantic information and more semantic relations. Feature Graph is a recursive undirected graph, allows nesting and multiple correlations.