Domain adaptation for summarizing conversations
The goal of summarization in natural language processing is to create abridged and informative versions of documents. A popular approach is supervised extractive summarization: given a training source corpus of documents with sentences labeled with their informativeness, train a model to sel...
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Language: | English |
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University of British Columbia
2011
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Online Access: | http://hdl.handle.net/2429/33932 |