Paper: FLSA: Extending Latent Semantic Analysis With Features For Dialogue Act Classification

ACL ID P04-1088
Title FLSA: Extending Latent Semantic Analysis With Features For Dialogue Act Classification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinar- ily trained on words only; FLSA adds to LSA the richness of the many other linguistic features that a corpus may be labeled with. We applied FLSA to dialogue act classification with excellent results. We report results on three corpora: CallHome Span- ish, MapTask, and our own corpus of tutoring dia- logues.