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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.
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Matt Thomas
Bo Pang
Tianjin University of Technology
Lillian Lee
Cornell University
Cornell University
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Thomas et al. (Sun,) studied this question.
synapsesocial.com/papers/6a08cc1a60378a53cb66bc82 — DOI: https://doi.org/10.3115/1610075.1610122