Sanchan, N., Aker, A. and Bontcheva, K. (2017) Automatic summarization of online debates. In: Makary, M. and Oakes, M., (eds.) Proceedings of the 1st Workshop on Natural Language Processing and Information Retrieval associated with RANLP 2017. 1st Workshop on Natural Language Processing and Information Retrieval associated with RANLP 2017, 07 Sep 2017, Varna, Bulgaria. INCOMA Inc , pp. 19-27.
Abstract
Debate summarization is one of the novel and challenging research areas in automatic text summarization which has been largely unexplored. In this paper, we develop a debate summarization pipeline to summarize key topics which are discussed or argued in the two opposing sides of online debates. We view that the generation of debate summaries can be achieved by clustering, cluster labeling, and visualization. In our work, we investigate two different clustering approaches for the generation of the summaries. In the first approach, we generate the summaries by applying purely term-based clustering and cluster labeling. The second approach makes use of X-means for clustering and Mutual Information for labeling the clusters. Both approaches are driven by ontologies. We visualize the results using bar charts. We think that our results are a smooth entry for users aiming to receive the first impression about what is discussed within a debate topic containing waste number of argumentations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 ACL. Available under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Computation and Language; Artificial Intelligence; Information Retrieval |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 DECARBONET - 610829 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/I004327/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Sep 2017 08:39 |
Last Modified: | 13 Jul 2020 15:22 |
Published Version: | https://www.aclweb.org/anthology/W17-7703/ |
Status: | Published |
Publisher: | INCOMA Inc |
Refereed: | Yes |
Identification Number: | 10.26615/978-954-452-038-0_003 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120760 |