Computer Science ›› 2013, Vol. 40 ›› Issue (10): 221-225.

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Semantic Modeling for Story Based Shallow Text Understanding and Event Frame

XIE Qiu-mei,GAO Chun-ming and WANG Xiao-lan   

  • Online:2018-11-16 Published:2018-11-16

Abstract: For the semantic understanding task of story text,this paper used open information extraction method to capture N-ary facts from story,and then described N-ary facts frames as event semantic model.Our method proposes extraction rules for frame elements based on dependency parser and regular expressions,and an event semantic model SOSDL ontology for story text with representation of qualitative temporal and spatial relations.Our experiments indicate that this approach captures more facts per sentence,is greater completeness, and SOSDL can effectively model the semantic elements of N-ary facts frames and their relationship.

Key words: Open information extraction,Natural language processing,Story text,Event ontology

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