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- W1837302567 abstract "This paper presents a novel WQA (Web Question Answering) approach based on the combination CCG (Combinatory Categorial Grammar) and DL (Description Logic) ontology, in order to promote semantic-level accuracy through deep text understanding capabilities. We propose to take DL based semantic modeling, i.e., translating lambda-expression encoding of question meaning into DL based semantic representations. The advantage of such approach is a seamless exploitation of existing semantic resource coded as DL ontology, which is widespread in such area as the Semantic Web and conceptual modeling. The experiments are conducted with a repository of complex Chinese questions which involves the satisfaction of some object property restrictions. The experimental results show that producing the semantic representations with the combination of CCG parsing and DL reasoning is an effective approach for question understanding at semantic level, in terms of both understanding accuracy promotion and semantic resource exploitation." @default.
- W1837302567 created "2016-06-24" @default.
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- W1837302567 date "2012-06-26" @default.
- W1837302567 modified "2023-09-24" @default.
- W1837302567 title "Web Question Answering based on CCG parsing and DL ontology" @default.
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