Paper: Syntactic and Semantic Kernels for Short Text Pair Categorization

ACL ID E09-1066
Title Syntactic and Semantic Kernels for Short Text Pair Categorization
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on lan- guage models and bag-of-words. There- fore, learning methods to exploit syntax and semantics are required. In this pa- per, we present a new kernel for the repre- sentation of shallow semantic information along with a comprehensive study on ker- nel methods for the exploitation of syntac- tic/semantic structures for short text pair categorization. Ourexperiments withSup- port Vector Machines on question/answer classification show that our kernels can be used to greatly improve system accuracy.