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IJCNLP
2005
Springer

A Preliminary Work on Classifying Time Granularities of Temporal Questions

8 years 10 months ago
A Preliminary Work on Classifying Time Granularities of Temporal Questions
Abstract. Temporal question classification assigns time granularities to temporal questions ac-cording to their anticipated answers. It is very important for answer extraction and verification in the literature of temporal question answering. Other than simply distinguishing between "date" and "period", a more finegrained classification hierarchy scaling down from "millions of years" to "second" is proposed in this paper. Based on it, a SNoW-based classifier, combining user preference, word N-grams, granularity of time expressions, special patterns as well as event types, is built to choose appropriate time granularities for the ambiguous temporal questions, such as When- and How long-like questions. Evaluation on 194 such questions achieves 83.5% accuracy, almost close to manually tagging accuracy 86.2%. Experiments reveal that user preferences make significant contributions to time granularity classification.
Wei Li, Wenjie Li, Qin Lu, Kam-Fai Wong
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IJCNLP
Authors Wei Li, Wenjie Li, Qin Lu, Kam-Fai Wong
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