Paper: Diverse Keyword Extraction from Conversations

ACL ID P13-2115
Title Diverse Keyword Extraction from Conversations
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

A new method for keyword extraction from conversations is introduced, which preserves the diversity of topics that are mentioned. Inspired from summarization, the method maximizes the coverage of topics that are recognized automatically in transcripts of conversation fragments. The method is evaluated on excerpts of the Fisher and AMI corpora, using a crowd- sourcing platform to elicit comparative relevance judgments. The results demon- strate that the method outperforms two competitive baselines.