The Prediction of Ellipses Using Topic Model for Japanese Colloquial Inquiry Text | Zendy

Tomohiko Harada | Zendy; Yoshikatsu Fujita | Zendy; Kazuhiko Tsuda | Zendy

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The Prediction of Ellipses Using Topic Model for Japanese Colloquial Inquiry Text

Author(s) -

Tomohiko Harada,

Yoshikatsu Fujita,

Kazuhiko Tsuda

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.09.219

Subject(s) - computer science , context (archaeology) , sentence , meaning (existential) , natural language processing , word (group theory) , artificial intelligence , style (visual arts) , expression (computer science) , linguistics , epistemology , history , philosophy , archaeology , programming language

Generally inquiries through Web forms and e-mails are increasing. These inquiry texts usually include many informal ex- pressions use of the colloquial style and many omitted words. An omitted word causes the meaning of a sentence to become ambiguous and makes the reader misread and misunderstand a context. In this paper we propose a method to predict omitted words from context and knowledge using topic information. From the results of evaluation experiment, we have confirmed that some of our methods can predict omitted words at the accuracy rate more than 40% for the expression that we used in the experiment

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