logo Idiap Research Institute        
 [BibTeX] [Marc21]
Diverse Keyword Extraction from Conversations
Type of publication: Conference paper
Citation: Habibi_ACL_2013
Publication status: Published
Booktitle: Proceedings of the ACL 2013 (51th Annual Meeting of the Association for Computational Linguistics ), Short Papers
Year: 2013
Month: August
Pages: 651-657
Publisher: ACL
Location: Sofia, Bulgaria
Abstract: 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 crowdsourcing platform to elicit comparative relevance judgments. The results demonstrate that the method outperforms two competitive baselines.
Keywords:
Projects Idiap
IM2
Authors Habibi, Maryam
Popescu-Belis, Andrei
Added by: [UNK]
Total mark: 0
Attachments
  • Habibi_ACL_2013.pdf
Notes