Paper: A Language Independent Method For Question Classification

ACL ID C04-1201
Title A Language Independent Method For Question Classification
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

Previous works on question classification are based on complex natural language process- ing techniques: named entity extractors, parsers, chunkers, etc. While these ap- proaches have proven to be effective they have the disadvantage of being targeted to a particular language. We present here a sim- ple approach that exploits lexical features and the Internet to train a classifier, namely a Support Vector Machine. The main fea- ture of this method is that it can be applied to different languages without requiring ma- jor modifications.