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ACL
2006
13 years 11 months ago
An Iterative Implicit Feedback Approach to Personalized Search
General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It c...
Yuanhua Lv, Le Sun, Junlin Zhang, Jian-Yun Nie, Wa...
ACL
2006
13 years 11 months ago
Improving QA Accuracy by Question Inversion
This paper demonstrates a conceptually simple but effective method of increasing the accuracy of QA systems on factoid-style questions. We define the notion of an inverted questio...
John M. Prager, Pablo Ariel Duboué, Jennife...
EMNLP
2006
13 years 11 months ago
Detecting Parser Errors Using Web-based Semantic Filters
NLP systems for tasks such as question answering and information extraction typically rely on statistical parsers. But the efficacy of such parsers can be surprisingly low, partic...
Alexander Yates, Stefan Schoenmackers, Oren Etzion...
EMNLP
2006
13 years 11 months ago
Context-Dependent Term Relations for Information Retrieval
Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related w...
Jing Bai, Jian-Yun Nie, Guihong Cao
DELOS
2001
13 years 11 months ago
Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms based on some explicit or implicit feedback from the user. Relevance feedback i...
Djoerd Hiemstra, Stephen E. Robertson