Paper: Context And Learning In Novelty Detection

ACL ID H05-1090
Title Context And Learning In Novelty Detection
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005

We demonstrate the value of using con- text in a new-information detection sys- tem that achieved the highest precision scores at the Text Retrieval Conference’s Novelty Track in 2004. In order to de- termine whether information within a sen- tence has been seen in material read pre- viously, 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.