Tracking the dynamic evolution of participant salience in a discussion

Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference

Volumn 1, Issue , 2008, Pages 313-320

  Hassan, Ahmed ^a   Fader, Anthony ^a   Crespin, Michael H ^b   Quinn, Kevin M ^c   Monroe, Burt L ^d   Colaresi, Michael ^e   Radev, Dragomir R ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF GEORGIA   (United States)

^c HARVARD UNIVERSITY   (United States)

^d PENNSYLVANIA STATE UNIVERSITY   (United States)

^e MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

DYNAMIC EVOLUTION; GRAPH REPRESENTATION; GRAPH-BASED TECHNIQUES; TEMPORAL EVOLUTION; TIME-TO-CAPTURE; US SENATE;

GRAPHIC METHODS;

EID: 79551517238     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1599081.1599121     Document Type: Conference Paper

References (19)

1. Blei, David and John Lafferty. 2006. Dynamic topic models. In ICML 2006.
2. Blei, David, Andrew Ng, and Michael Jordan. 2003. Latent dirichlet allocation. Journal of Machine Learning Research, 3:993-1022.
3. Brin, Sergey and Lawrence Page. 1998. The anatomy of a large-scale hypertextual Web search engine. CMS, 30(1-7): 107-117.
4. Erkan, Gunes, and Dragomir Radev. 2004. Lexrank: Graph-based centrality as salience in text summarization. Journal of Artificial Intelligence Research (JAIR).
5. Erkan, Gunes. 2006. Language model-based document clustering using random walks. In HLT/NAACL 2006, pages 479-486. Association for Computational Linguistics.
6. Fader, Anthony, Dragomir Radev, Michael Crespin, Burt Monroe, Kevin Quinn, and Michael Colaresi. 2007. Mavenrank: Identifying influential members of the us senate using lexical centrality. In EMNLP 2007.
7. Hartog, Chris Den and Nathan Monroe. 2004. The value of majority status: The effect of Jeffords's switch on asset prices of republican and democratic firms. Legislative Studies Quarterly, 33:63-84.
8. Kleinberg, Jon. 1998. Authoritative sources in a hyper-linked environment. In the ACM-SIAM Symposium on Discrete Algorithms, pages 668-677.
9. Kurland, Oren and Lillian Lee. 2005. PageRank without hyperlinks: Structural re-ranking using links induced by language models. In SIGIR 2005, pages 306-313.
10. Kurland, Oren and Lillian Lee. 2006. Respect my authority! HITS without hyperlinks, utilizing cluster-based language models. In SIGIR 2006, pages 83-90.
11. McLachlan, Geoffrey and David Peel. 2000. Finite Mixture Models. New York: Wiley.
12. Mihalcea, Rada and Paul Tarau. 2004. TextRank: Bringing order into texts. In EMNLP 2004.
13. Mihalcea, Rada, Paul Tarau, and Elizabeth Figa. 2004. Pagerank on semantic networks, with application to word sense disambiguation. In COLING 2004, pages 1126-1132.
14. Monroe, Burt, Cheryl Monroe, Kevin Quinn, Dragomir Radev, Michael Crespin, Michael Colaresi, Anthony Fader, Jacob Balazer, and Steven Abney. 2006. United states congressional speech corpus. Department of Political Science, The Pennsylvania State University.
15. Newman, Mark. 2003. A measure of betweenness centrality based on random walks. Technical Report cond-mat/0309045, Arxiv.org.
16. Porter, Mason, Peter Mucha, Miark Newman, and Casey Warmbrand. 2005. A network analysis of committees in the U.S. House of Representatives. PNAS, 102(20).
17. Quinn, Kevin, Burt Monroe, Michael Colaresi, Michael Crespin, and Dragomir Radev. 2006. An automated method of topic-coding legislative speech over time with application to the 105th-108th U.S. senate. In Midwest Political Science Association Meeting.
18. Sparck-Jones, Karen. 1972. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 28(1): 11-20.
19. Thomas, Matt, Bo Pang, and Lillian Lee. 2006. Get out the vote: Determining support or opposition from Congressional floor-debate transcripts. In EMNLP 2006, pages 327-335.