Get out the vote: Determining support or opposition from Congressional floor-debate transcripts

We investigate whether one can determine from the transcripts of U.S. Congressional floor debates whether the speeches represent support of or opposition to proposed legislation. To address this problem, we exploit the fact that these speeches occur as part of a discussion; this allows us to use sources of information regarding relationships between discourse segments, such as whether a given utterance indicates agreement with the opinion expressed by another. We find that the incorporation of such information yields substantial improvements over classifying speeches in isolation.

• Publication year

  2006

• Venue

  Conference on Empirical Methods in Natural Language Processing

• Publication date

  2006-07-12

• Fields of study

  Physics, Computer Science, Political Science

• Identifiers
  DOI 10.3115/1610075.1610122arXiv cs/0607062
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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