The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Get out the vote: determining support or opposition from congressional floor-debate transcripts
Open accessAbstract
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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Cites
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“Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models
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Metadata
- Authors
- Thomas, M., Pang, B., & Lee, L.
- Venue
- Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06
- Published
- 2006
- Pages
- 327
- OpenAlex
- W1967807490
- Cited by
- 483
- References
- 1
- FWCI
- 11.29
- Type
- conference paper
- Language
- en
- Open access
- bronze
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
