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» Extracting Domain Knowledge for Dialogue Model Adaptation
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AOSD
2007
ACM
13 years 11 months ago
Efficiently mining crosscutting concerns through random walks
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
Charles Zhang, Hans-Arno Jacobsen
NAACL
2010
13 years 5 months ago
An Unsupervised Aspect-Sentiment Model for Online Reviews
With the increase in popularity of online review sites comes a corresponding need for tools capable of extracting the information most important to the user from the plain text da...
Samuel Brody, Noemie Elhadad
KAIS
2006
121views more  KAIS 2006»
13 years 7 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
CICLING
2005
Springer
14 years 1 months ago
Incremental Information Extraction Using Tree-Based Context Representations
Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
Christian Siefkes
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 1 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar