Abstract
A typical discussion thread in an online forum spans multiple pages involving participation from multiple users and thus, may contain multiple view-points and solutions. A user interested in the topic of discussion or having a problem similar to being discussed in the thread may not want to read all the previous posts but only a few selected posts that provide her a concise summary of the ongoing discussion. This paper describes an extractive summarization technique that uses textual features and dialog act information of individual messages to select a subset of posts. Proposed approach is evaluated using two real life forum datasets.
| Original language | English (US) |
|---|---|
| Title of host publication | EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 2127-2131 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781937284961 |
| State | Published - 2014 |
| Event | 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 - Doha, Qatar Duration: Oct 25 2014 → Oct 29 2014 |
Other
| Other | 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 |
|---|---|
| Country | Qatar |
| City | Doha |
| Period | 10/25/14 → 10/29/14 |
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Information Systems
Cite this
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Summarizing online forum discussions - Can dialog acts of individual messages help? / Bhatia, Sumit; Biyani, Prakhar; Mitra, Prasenjit.
EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2014. p. 2127-2131.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Summarizing online forum discussions - Can dialog acts of individual messages help?
AU - Bhatia, Sumit
AU - Biyani, Prakhar
AU - Mitra, Prasenjit
PY - 2014
Y1 - 2014
N2 - A typical discussion thread in an online forum spans multiple pages involving participation from multiple users and thus, may contain multiple view-points and solutions. A user interested in the topic of discussion or having a problem similar to being discussed in the thread may not want to read all the previous posts but only a few selected posts that provide her a concise summary of the ongoing discussion. This paper describes an extractive summarization technique that uses textual features and dialog act information of individual messages to select a subset of posts. Proposed approach is evaluated using two real life forum datasets.
AB - A typical discussion thread in an online forum spans multiple pages involving participation from multiple users and thus, may contain multiple view-points and solutions. A user interested in the topic of discussion or having a problem similar to being discussed in the thread may not want to read all the previous posts but only a few selected posts that provide her a concise summary of the ongoing discussion. This paper describes an extractive summarization technique that uses textual features and dialog act information of individual messages to select a subset of posts. Proposed approach is evaluated using two real life forum datasets.
UR - http://www.scopus.com/inward/record.url?scp=84961291579&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961291579&partnerID=8YFLogxK
M3 - Conference contribution
SP - 2127
EP - 2131
BT - EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
PB - Association for Computational Linguistics (ACL)
ER -