Paper: A Preliminary Work on Classifying Time Granularities of Temporal Questions

ACL ID I05-1037
Title A Preliminary Work on Classifying Time Granularities of Temporal Questions
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors

Temporal question classification assigns time granularities to tempo- ral questions ac-cording to their anticipated answers. It is very important for an- swer extraction and verification in the literature of temporal question answer- ing. Other than simply distinguishing between "date" and "period", a more fine- grained classification hierarchy scaling down from "millions of years" to "sec- ond" 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 t...