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Automated Focus Extraction for Question Answering over Topic Maps

Paper, was published by Rani Pinchuk, Tiphaine Dalmas, and Alexander Mikhailian at 2009-11-12

This paper describes question analysis in Question Answering over Topic Maps.

External Link: more information

This paper describes the first stage of question analysis in Question Answering over Topic Maps. It introduces the concepts of asking point and expected answer type as variations of the question focus. We identify the question focus in questions asked to a Question Answering system over Topic Maps. We use known machine learning techniques for expected answer type extraction and implement a novel approach to the asking point extraction. We also provide a mathematical model to predict the performance of the system.

Authors

Rani Pinchuk

No contact information available. 

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Rani is involved in LINDO, DIADEM, ULISSE, TopiEngi, and SATOPI.

Tiphaine Dalmas

No contact information available. 

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Tiphaine is author of Automated Focus Extraction.. and Learning foci for question.. .

Alexander Mikhailian

No contact information available. 

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Alexander is author of A case for XTM 3.0, XTM 1.0 to XTM 2.0.. , Automated Focus Extraction.. , and Learning foci for question.. .

Presented at

TMRA 2009

Conference in Leipzig from {{start}} to {{end}}

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Call for Contributions TMRA 2009 will be the fifth event in the annual series of international conferences on Topic Maps Research and …

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