BibTeX
@MISC{Li_ananswer,
author = {Xiaoyan Li},
title = {An Answer Updating Approach to Novelty Detection},
year = {}
}
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Abstract
The detection of new and novel information in a document stream is an important component of potential applications. This paper describes an answer updating approach to novelty detection at the sentence level. Specifically, we explore the use of questionanswering techniques for novelty detection. New information is defined as new/previously unseen answers to questions representing a user’s information need. A sentence is treated as novel sentence if the system believes that it may contain a previously unseen answer to the question. In our answer updating approach, there are two important steps: question formulation and new answer detection. Experiments were carried out on data from the TREC 2003 novelty track using the proposed approach. The results show that the proposed answer updating approach outperforms all three baselines in terms of precision at low recall.
Keyphrases
novelty detection answer updating approach unseen answer user information need new answer detection approach outperforms sentence level novel information new information document stream important component novelty track question formulation important step low recall potential application novel sentence
