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Modeling diverse standpoints in text classification
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由 KR Fleischmann 著作2011被引用 11 次 — Modeling diverse standpoints in text classification: learning to be human by modeling human values. Authors: Kenneth R. Fleischmann, Thomas Clay Templeton ...
Modeling Diverse Standpoints in Text Classification
University of Maryland Institute for Advanced Computer Studies
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由 KR Fleischmann 著作被引用 11 次 — Fleischmann, Clay Templeton, and Jordan Boyd-Graber. Modeling Diverse Standpoints in · Text Classification: Learning to Be Human by Modeling Human Values.
Modeling diverse standpoints in text classification
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To model human behavior, it is important to model humans' unique standpoints. Human values play an especially important role in determining human behavior and ...
[PDF] Modeling diverse standpoints in text classification
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This experiment compares people's values with their agreement or disagreement with paragraphs that were classified as either supporting or opposing a ...
Modeling diverse standpoints in text classification
University of Maryland Institute for Advanced Computer Studies
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Title, Modeling diverse standpoints in text classification: learning to be human by modeling human values. Publication Type, Conference Papers.
Modeling diverse standpoints in text classification: learning to be ...
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Bibliographic details on Modeling diverse standpoints in text classification: learning to be human by modeling human values.
Investigating multi‐label classification for human values
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This paper describes the development of a scalable process for people and machines working together to identify sections of text that reflect specific human ...
[PDF] Investigating multi-label classification for human values
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Modeling diverse standpoints in text classification: learning to be human by modeling human values · K. FleischmannT. C. TempletonJordan L. Boyd-Graber.
A comprehensive survey of text classification techniques ...
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由 K Taha 著作2024被引用 3 次 — This paper aims to conduct a comprehensive evaluation of modern text classification algorithms through empirical and experimental assessments.