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» Language Modeling with Sentence-Level Mixtures
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ACL
2011
12 years 11 months ago
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S....
SIGIR
2006
ACM
14 years 1 months ago
Regularized estimation of mixture models for robust pseudo-relevance feedback
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Tao Tao, ChengXiang Zhai
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
COLING
2010
13 years 2 months ago
Latent Mixture of Discriminative Experts for Multimodal Prediction Modeling
During face-to-face conversation, people naturally integrate speech, gestures and higher level language interpretations to predict the right time to start talking or to give backc...
Derya Ozkan, Kenji Sagae, Louis-Philippe Morency
EMNLP
2010
13 years 5 months ago
A Mixture Model with Sharing for Lexical Semantics
We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to i...
Joseph Reisinger, Raymond J. Mooney