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 select...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
University of British Columbia
2011
|
| Online Access: | http://hdl.handle.net/2429/33932 |