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Using a Thesaurus for Conceptual Expression of English Verbs
Myaeng, Sung Hyon,McHale, Michael 충남대학교 기초과학연구소 2001 忠南科學硏究誌 Vol.28 No.2
The meaning of a word is important but for natural language Processing (NLP) systems the representation of the meaning is also an important consideration. We attempt to represent word senses by picking unambiguous labels for each sense of a word and placing these labels, and their corresponding words, into a categorization of conceptual space. In particular, we use Rogets International Thesaurus (RIT) as controlled vocabulary to map English verbs to appropriate places in the thesaurus. This paper introduces the issues and suggests several algorithms with some discussions on future research for improvement.
Semantic passage segmentation based on sentence topics for question answering
Oh, H.J.,Myaeng, S.H.,Jang, M.G. North-Holland [etc ; Elsevier Science Ltd 2007 Information sciences Vol.177 No.18
We propose a semantic passage segmentation method for a Question Answering (QA) system. We define a semantic passage as sentences grouped by semantic coherence, determined by the topic assigned to individual sentences. Topic assignments are done by a sentence classifier based on a statistical classification technique, Maximum Entropy (ME), combined with multiple linguistic features. We ran experiments to evaluate the proposed method and its impact on application tasks, passage retrieval and template-filling for question answering. The experimental result shows that our semantic passage retrieval method using topic matching is more useful than fixed length passage retrieval. With the template-filling task used for information extraction in the QA system, the value of the sentence topic assignment method was reinforced.