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Comparative experiments on learning information extractors for proteins and their interactions
TLDR
We used a variety of machine learning methods to automatically develop information extraction systems for extracting information on gene/protein name, function and interactions from Medline abstracts. Expand
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Learning for Semantic Parsing with Statistical Machine Translation
TLDR
We present a novel statistical approach to semantic parsing, WASP, for constructing a complete, formal meaning representation of a sentence. Expand
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Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
TLDR
This paper presents the first empirical results to our knowledge on learning synchronous grammars that generate logical forms. Expand
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Learning to Transform Natural to Formal Languages
TLDR
This paper presents a method for inducing transformation rules that map natural-language sentences into a formal query or command language using non-terminal symbols in a formal grammar. Expand
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Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
TLDR
We present results on using phrase-based SMT for learning to map meaning representations to natural language. Expand
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Genetic and genetic/simulated-annealing approaches to economic dispatch
The paper first develops and presents the implementation of basic and incremental genetic-algorithm approaches for the determination of the global or near-global optimum solution for the economicExpand
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Learning for semantic parsing and natural language generation using statistical machine translation techniques
TLDR
We present novel statistical methods for robust natural language understanding and generation using state-of-the-art machine translation techniques. Expand
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Learning to Extract Proteins and their Interactions from Medline Abstracts
TLDR
We present results from a variety of learned information extraction systems for identifying human protein names in Medline abstracts and subsequently extracting interactions between the proteins. Expand
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Learning for Semantic Parsing Using Statistical Machine Translation Techniques
TLDR
Semantic parsing is the construction of a complete, formal, symbolic meaning representation of a sentence. Expand
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Short-term hydrothermal scheduling part. I. Simulated annealing approach
The paper develops a short-term hydrothermal scheduling algorithm based on the simulated annealing technique. In the algorithm, the power balance constraint, total water discharge constraint,Expand
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