DocumentCode
3045281
Title
Clause Anaphora Resolution for Japanese Demonstrative Determiner Based on Semantic Similarity between Different Part-of-Speech
Author
Ikegami, Yasuyuki ; Damiani, Ernesto ; Urano, Akihiro ; Tsuruta, Setsuo
Author_Institution
Sch. of Inf. Environ., Tokyo Denki Univ., Chiba, Japan
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
3067
Lastpage
3072
Abstract
An anaphora is a type of expression whose reference depends upon another referential element. In order to become aware of situations or human intentions by natural language understanding, it is important to estimate correctly what anaphoric expressions indicate. In particular, an anaphora resolution for Japanese demonstrative determiners is critical to be aware of situation, context or a causal relationship in dialogue. Ontology-based similarity has been proposed as a way to identify referential elements, however, a method using ontology alone cannot resolve all anaphoric relations. This paper proposes an anaphora analysis method that uses semantic similarity between different part-of-speech and conceptual dependency structure. This method specializes in resolving clause anaphoric. The evaluation of this method showed 100% accuracy for resolving Japanese demonstrative determiner in counseling dialogue.
Keywords
computational linguistics; interactive systems; natural language processing; ontologies (artificial intelligence); speech processing; Japanese demonstrative determiner; anaphora analysis method; anaphoric expression; anaphoric relations; clause anaphora resolution; conceptual dependency structure; counseling dialogue; natural language; ontology-based similarity; part-of-speech; referential element identification; semantic similarity; Accuracy; Educational institutions; Employee welfare; Natural languages; Ontologies; Semantics; Syntactics; anaphora resolution; clause anaphoric; demonstrative determiner; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.523
Filename
6722276
Link To Document