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IR
2011
13 years 4 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
LREC
2008
123views Education» more  LREC 2008»
13 years 11 months ago
Answering List Questions using Co-occurrence and Clustering
Although answering list questions is not a new research area, answering them automatically still remains a challenge. The median F-score of systems that participated in TREC 2007 ...
Majid Razmara, Leila Kosseim
ACL
2006
13 years 11 months ago
K-QARD: A Practical Korean Question Answering Framework for Restricted Domain
We present a Korean question answering framework for restricted domains, called K-QARD. K-QARD is developed to achieve domain portability and robustness, and the framework is succ...
Young-In Song, Hoo-Jung Chung, Kyoung-Soo Han, Joo...
WILF
2007
Springer
101views Fuzzy Logic» more  WILF 2007»
14 years 4 months ago
Exploring the Application of Fuzzy Logic and Data Fusion Mechanisms in QAS
In this paper we explore the application of fuzzy logic and data fusion techniques to improve the performance of passage retrieval in open domain Question Answering Systems (QAS). ...
Daniel Ortiz Arroyo, Hans Ulrich Christensen
AMSTERDAM
2009
13 years 7 months ago
Vagueness Facilitates Search
This paper addresses the question why language is vague. A novel answer to this question is proposed, which complements other answers suggested in the literature. It claims that va...
Kees van Deemter