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NAACL
2007
15 years 8 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney
SPLC
2008
15 years 8 months ago
Feature Descriptions for Context-oriented Programming
In Context-oriented Programming (COP), programs can be partitioned into behavioral variations expressed as sets of partial program definitions. Such layers can be activated and de...
Pascal Costanza, Theo D'Hondt
AAAI
2006
15 years 8 months ago
Using Semantics to Identify Web Objects
Many common web tasks can be automated by algorithms that are able to identify web objects relevant to the user's needs. This paper presents a novel approach to web object id...
Nathanael Chambers, James F. Allen, Lucian Galescu...
ACL
2004
15 years 8 months ago
Discriminative Training of a Neural Network Statistical Parser
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
James Henderson
ACL
2006
15 years 8 months ago
Discriminative Reranking for Semantic Parsing
Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by u...
Ruifang Ge, Raymond J. Mooney
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