Detecting forum authority claims in online discussions

Authors:
Alex Marin;Bin Zhang;Mari Ostendorf
Affiliations:
University of Washington;University of Washington;University of Washington
Venue:
LSM '11 Proceedings of the Workshop on Languages in Social Media
Year:
2011

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Abstract

This paper explores the problem of detecting sentence-level forum authority claims in online discussions. Using a maximum entropy model, we explore a variety of strategies for extracting lexical features in a sparse training scenario, comparing knowledge- and data-driven methods (and combinations). The augmentation of lexical features with parse context is also investigated. We find that certain markup features perform remarkably well alone, but are outperformed by data-driven selection of lexical features augmented with parse context.