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LREC
2010
180views Education» more  LREC 2010»
13 years 6 months ago
A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
We describe two corpora of question and answer pairs collected for complex, open-domain Question Answering (QA) to enable answer classification and re-ranking experiments. We deli...
Silvia Quarteroni, Alessandro Moschitti
WWW
2001
ACM
14 years 5 months ago
Learning search engine specific query transformations for question answering
We introduce a method for learning query transformations that improves the ability to retrieve answers to questions from an information retrieval system. During the training stage...
Eugene Agichtein, Steve Lawrence, Luis Gravano
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 8 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
FSKD
2006
Springer
190views Fuzzy Logic» more  FSKD 2006»
13 years 8 months ago
A Maximum Entropy Model Based Answer Extraction for Chinese Question Answering
We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibil...
Ang Sun, Minghu Jiang, Yanjun Ma
IJDMMM
2008
87views more  IJDMMM 2008»
13 years 4 months ago
Is an ordinal class structure useful in classifier learning?
In recent years, a number of machine learning algorithms have been developed for the problem of ordinal classification. These algorithms try to exploit, in one way or the other, t...
Jens C. Huhn, Eyke Hüllermeier