The Automated Acquisition of Topic Signatures for Text Summarization
- Chin-Yew Lin ,
- Eduard Hovy
18th International Conference on Computational Linguistics (COLING'00) |
Published by International Conference on Computational Linguistics (ICCL) | Organized by International Conference on Computational Linguistics (ICCL)
In order to produce a good summary, one has to identify the most relevant portions of a given text. We describe in this paper a method for automatically training topic signatures{sets of related words, with associated weights, organized around head topics{and illustrate with signatures we created with 6,194 TREC collection texts over 4 selected topics. We describe the possible integration of topic signatures with ontologies and its evaluaton on an automated text summarization system.