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  3. Summarizing meeting transcripts based on functional segmentation

Summarizing meeting transcripts based on functional segmentation

Bokaei, M. H ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. DOI: 10.1109/TASLP.2016.2585859
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2016
  4. Abstract:
  5. In this paper, we aim to improve meeting summarization performance using discourse specific information. Since there are intrinsically different characteristics in utterances in different types of function segments, e.g., Monologue segments versus Discussion ones, we propose a new summarization framework where different summarizers are used for different segment types. For monologue segments, we adopt the integer linear programming-based summarization method; whereas for discussion segments, we use a graph-based method to incorporate speaker information. Performance of our proposed method is evaluated using the standard AMI meeting corpus. Results show a good improvement over previous state-of-the-art algorithms according to various evaluation metrics and different compress ratios. © 2014 IEEE
  6. Keywords:
  7. Extractive summarization ; functional segmentation ; multiparty conversation ; Graphic methods ; Evaluation metrics ; Extractive summarizations ; Graph-based methods ; Integer Linear Programming ; Meeting transcripts ; Multi-party conversations ; Specific information ; State-of-the-art algorithms ; Integer programming
  8. Source: IEEE/ACM Transactions on Audio Speech and Language Processing ; Volume 24, Issue 10 , 2016 , Pages 1831-1841 ; 23299290 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/7501601/?reload=true