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. |
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Idiap IM2 |
Authors | |
Added by: | [UNK] |
Total mark: | 0 |
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