Paper: Latent Semantic Analysis For Dialogue Act Classification

ACL ID N03-2032
Title Latent Semantic Analysis For Dialogue Act Classification
Venue Human Language Technologies
Session Short Paper
Year 2003
Authors

This paper presents our experiments in apply- ing Latent Semantic Analysis (LSA) to dia- logue act classification. We employ both LSA proper and LSA augmented in two ways. We report results on DIAG, our own corpus of tu- toring dialogues, and on the CallHome Spanish corpus. Our work has the theoretical goal of as- sessing whether LSA, an approach based only on raw text, can be improved by using addi- tional features of the text.