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» Learning Language Semantics from Ambiguous Supervision
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ACL
2011
12 years 11 months ago
Learning Dependency-Based Compositional Semantics
Compositional question answering begins by mapping questions to logical forms, but training a semantic parser to perform this mapping typically requires the costly annotation of t...
Percy Liang, Michael I. Jordan, Dan Klein
EMNLP
2010
13 years 5 months ago
What a Parser Can Learn from a Semantic Role Labeler and Vice Versa
In many NLP systems, there is a unidirectional flow of information in which a parser supplies input to a semantic role labeler. In this paper, we build a system that allows inform...
Stephen A. Boxwell, Dennis Mehay, Chris Brew
EMNLP
2011
12 years 7 months ago
Bootstrapping Semantic Parsers from Conversations
Conversations provide rich opportunities for interactive, continuous learning. When something goes wrong, a system can ask for clarification, rewording, or otherwise redirect the...
Yoav Artzi, Luke S. Zettlemoyer
EMNLP
2011
12 years 7 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
ICIP
2003
IEEE
14 years 9 months ago
Statistical learning for effective visual information retrieval
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Edward Y. Chang, Beitao Li, Gang Wu, Kingshy Goh