2005 Presentations (Communicative Events)
Context and Learning in Novelty Detection
We demonstrate the value of using context in a new-information detection system that achieved the highest precision scores at the Text Retrieval Conference's Novelty Track in 2004. In order to determine whether information within a sentence has been seen in material read previously, our system integrates information about the context of the sentence with novel words and named entities within the sentence, and uses a specialized learning algorithm to tune the system parameters.
Subjects
Files
- schiffman_mckeown_05.pdf application/pdf 90.1 KB Download File
Also Published In
More About This Work
- Academic Units
- Computer Science
- Publisher
- Proceedings of HLT/EMNLP 2005
- Published Here
- June 27, 2013