Automated natural language processing tool uses machine learning to identify quoted speech in literary narratives
- 总结
- Kathleen McKeown, Ph.D.
- 技术优势
- Addresses the application of natural language processing to literatureLeverages two aspects of the semantics of quoted speech (dialogue chains and the frequent use of expression verbs) by using a pattern matching algorithm to assign each quote to a syntactic category.Draws upon a corpus of more than 3,000 quotations Achieves 83% accuracy in assigning speakers to quotesPatent information:Patent PendingTech Ventures Reference: IR Proxy66
- 技术应用
- Sentiment analysis (i.e. opinion mining)Political discourse analysis (debates, speeches, hearings, etc.) Automated literary analysis Social network extraction Automatic text summarizationSpeech recognition and segmentation
- 详细技术说明
- Kathleen McKeown, Ph.D.
- *Abstract
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None
- *Inquiry
- Jay HickeyColumbia Technology VenturesTel: (212) 854-8444Email: TechTransfer@columbia.edu
- *IR
- Proxy66
- *Principal Investigation
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- *Publications
- Elson DK, McKeown KR. "Automatic Attribution of Quoted Speech in Literary Narrative." Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. 2010:1013-1019.Elson and McKeown, Automatic Attribution of Quoted Speech in Literary Narrative, AAAI 2010
- 国家/地区
- 美国
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