Tagging and linking web forum posts

  • Authors:
  • Su Nam Kim;Li Wang;Timothy Baldwin

  • Affiliations:
  • University of Melbourne, Australia;University of Melbourne, Australia;University of Melbourne, Australia

  • Venue:
  • CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
  • Year:
  • 2010

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Abstract

We propose a method for annotating post-to-post discourse structure in online user forum data, in the hopes of improving troubleshooting-oriented information access. We introduce the tasks of: (1) post classification, based on a novel dialogue act tag set; and (2) link classification. We also introduce three feature sets (structural features, post context features and semantic features) and experiment with three discriminative learners (maximum entropy, SVM-HMM and CRF). We achieve above-baseline results for both dialogue act and link classification, with interesting divergences in which feature sets perform well over the two sub-tasks, and go on to perform preliminary investigation of the interaction between post tagging and linking.