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EACL
2009
ACL Anthology
16 years 4 months ago
Sentiment Summarization: Evaluating and Learning User Preferences
We present the results of a large-scale, end-to-end human evaluation of various sentiment summarization models. The evaluation shows that users have a strong preference for summar...
Kevin Lerman, Sasha Blair-Goldensohn, Ryan T. McDo...
119
Voted
IROS
2006
IEEE
120views Robotics» more  IROS 2006»
15 years 9 months ago
Learning from Nature to Build Intelligent Autonomous Robots
Information processing within autonomous robots should follow a biomimetic approach. In contrast to traditional approaches that make intensive use of accurate measurements, numeric...
Rainer Bischoff 0002, Volker Graefe
116
Voted
IJCNLP
2005
Springer
15 years 9 months ago
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
Daisuke Okanohara, Jun-ichi Tsujii
108
Voted
WPES
2004
ACM
15 years 9 months ago
Specifying privacy policies with P3P and EPAL: lessons learned
As computing becomes more ubiquitous and Internet use continues to rise, it is increasingly important for organizations to construct accurate and effective privacy policies that d...
William H. Stufflebeam, Annie I. Antón, Qin...
113
Voted
CSCLP
2003
Springer
15 years 8 months ago
Learning Approximate Consistencies
ing Soft Constraints: Some Experimental Results on Fuzzy CSPs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 Stefano Bi...
Arnaud Lallouet, Andrei Legtchenko, Thi-Bich-Hanh ...