NDLI: Detecting authority bids in online discussions

Content Provider	IEEE Xplore Digital Library
Author	Marin, A. Ostendorf, M. Zhang, B. Morgan, J.T. Oxley, M. Zachry, M. Bender, E.M.
Copyright Year	2010
Description	Author affiliation: Department of Linguistics, University of Washington, Seattle, 98195, USA (Oxley, M.; Bender, E.M.) \|\| Department of Electrical Engineering, University of Washington, Seattle, 98195, USA (Marin, A.; Ostendorf, M.; Zhang, B.) \|\| Department of Human Centered Design and Engineering, University of Washington, Seattle, 98195, USA (Morgan, J.T.; Zachry, M.)
Abstract	This paper looks at the problem of detecting a particular type of social behavior in discussions: attempts to establish credibility as an authority on a particular topic. Using maximum entropy modeling, we explore questions related to feature extraction and turn vs. discussion-level modeling in experiments with online discussion text given only a small amount of labeled training data. We also introduce a method for learning interaction words from unlabeled data. Preliminary experiments show that a word-based approach (as used in topic classification) can be used successfully for turn-level modeling, but is less effective at the discussion level. We also find that sentence complexity features are almost as useful as lexical features, and that interaction words are more robust than the full vocabulary when combined with other features.
Starting Page	49
Ending Page	54
File Size	93226
Page Count	6
File Format	PDF
ISBN	9781424479047
e-ISBN	9781424479023
DOI	10.1109/SLT.2010.5700821
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Electronic publishing Text analysis feature learning Encyclopedias Feature extraction social interaction Complexity theory Internet
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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