MICHAEL ELHADAD
Senior Academic
splitSVM
Fast, space-efficient, non-heuristic, polynomial kernel computation for NLP applications
We present a fast, space efficient and non-heuristic method for calculating the decision function of polynomial kernel classifiers for NLP applications. We apply the method to the MaltParser system, resulting in a Java parser that parses over 50 sentences per second on modest hardware without loss of accuracy (a 30 time speedup over existing methods). The method implementation is available as the open-source splitSVM Java library.
| Publication language | English |
| Pages | 237-240 |
| Journal | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
| Publication status | Published - 01.01.2008 |
ASJC Scopus subject areas
Computer Science Applications
Linguistics and Language
Language and Linguistics
