Paper: Argumentative Feedback: A Linguistically-Motivated Term Expansion For Information Retrieval

ACL ID P06-2087
Title Argumentative Feedback: A Linguistically-Motivated Term Expansion For Information Retrieval
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

We report on the development of a new au- tomatic feedback model to improve informa- tion retrieval in digital libraries. Our hy- pothesis is that some particular sentences, selected based on argumentative criteria, can be more useful than others to perform well-known feedback information retrieval tasks. The argumentative model we ex- plore is based on four disjunct classes, which has been very regularly observed in scien- tific reports: PURPOSE, METHODS, RE- SULTS, CONCLUSION. To test this hy- pothesis, we use the Rocchio algorithm as baseline. While Rocchio selects the fea- tures to be added to the original query based on statistical evidence, we propose to base our feature selection also on argu- mentative criteria. Thus, we restrict the ex- pansion on features appearing only in sen- t...