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TREC
2004
15 years 5 months ago
THUIR at TREC 2004: QA
In this paper, we describe ideas and related experiments of Tsinghua University IR group in TREC 2004 QA track. In this track, our system consists three components: Question analy...
Wei Tan 0002, Qunxiu Chen, Shaoping Ma
118
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AIED
2009
Springer
15 years 10 months ago
Are Your Students Working Creatively Together? Automatically Recognizing Creative Turns in Student e-Discussions
In this paper, we discuss how Artificial Intelligence (AI) techniques might be brought to bear in automatically recognizing “creative reasoning” in student e-discussions. An AI...
Bruce M. McLaren, Rupert Wegerif, Jan Miksatko, Ol...
100
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NDQA
2003
108views Education» more  NDQA 2003»
15 years 5 months ago
Answer Selection and Confidence Estimation
We focused on two issues: answer selection and confidence estimation. We found that some simple constraints on the candidate answers can improve a pure IR-based technique for answ...
Jinxi Xu, Ana Licuanan, Jonathan May, Scott Miller...
146
Voted
WWW
2009
ACM
16 years 4 months ago
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Community Question Answering (CQA) has emerged as a popular forum for users to pose questions for other users to answer. Over the last few years, CQA portals such as Naver and Yah...
Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichte...
145
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CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 2 months ago
When LP is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings
Abstract Consider a random graph model where each possible edge e is present independently with some probability pe. Given these probabilities, we want to build a large/heavy match...
Nikhil Bansal, Anupam Gupta, Jian Li, Juliá...