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P13-1011.pdf
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🔗 Source: preview.aclanthology.org
📊 Size: 867 KB
👤 Author: Elijah Mayfield ; David Adamson ; Carolyn Penstein Rose
⬇️ Downloads: 234

Summary

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 104–113, Sofia, Bulgaria, August 4-9 2013. The paper "Recognizing Rare Social Phenomena in Conversation: Empowerment Detection in Support Group Chatrooms" by Elijah Mayfield, David Adamson, and Carolyn Penstein Ros´e proposes a technique for automated annotation of social behavior in conversation, specifically empowerment language in online support group chatrooms. The authors address the challenge of recognizing rare social phenomena in conversation, which are often sparse and appear only in specific subsections of a conversation, making supervised machine learning difficult. They propose within-instance content selection, using cue features to selectively suppress sections of text and biasing the remaining representation towards minority classes. The technique is shown to be significantly more accurate than multiple baselines, especially when prioritizing high precision. The paper also discusses the importance of quantitative social science research, the challenges of automated annotation of social phenomena, and the potential applications of this work.

Description

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 104–113, Sofia, Bulgaria, August 4-9 2013.

Technical Information

  • File Format: PDF
  • File Size: 867 KB
  • Pages: 10
  • Language: EN
  • Author: Elijah Mayfield ; David Adamson ; Carolyn Penstein Rose
  • Total Downloads: 234
  • Last Updated: 3 hours ago

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