2010 Presentations (Communicative Events)
Automatic Attribution of Quoted Speech in Literary Narrative
We describe a method for identifying the speakers of quoted speech in natural-language textual stories. We have assembled a corpus of more than 3,000 quotations, whose speakers (if any) are manually identified, from a collection of 19th and 20th century literature by six authors. Using rule-based and statistical learning, our method identifies candidate characters, determines their genders, and attributes each quote to the most likely speaker. We divide the quotes into syntactic classes in
order to leverage common discourse patterns, which enable rapid attribution for many quotes. We apply learning algorithms to the remainder and achieve an overall accuracy of 83%.
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- AAAI10-ElsonMcKeown.pdf application/pdf 130 KB Download File
More About This Work
- Academic Units
- Computer Science
- Published Here
- April 26, 2013