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» Learning Language Semantics from Ambiguous Supervision
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POPL
2009
ACM
14 years 8 months ago
The semantics of x86-CC multiprocessor machine code
Multiprocessors are now dominant, but real multiprocessors do not provide the sequentially consistent memory that is assumed by most work on semantics and verification. Instead, t...
Susmit Sarkar, Peter Sewell, Francesco Zappa Narde...
CICLING
2005
Springer
14 years 28 days ago
A Machine Learning Approach to Information Extraction
Information extraction is concerned with applying natural language processing to automatically extract the essential details from text documents. A great disadvantage of current ap...
Alberto Téllez-Valero, Manuel Montes-y-G&oa...
CICLING
2009
Springer
14 years 8 months ago
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
Ted Pedersen
ACL
2006
13 years 8 months ago
Learning to Say It Well: Reranking Realizations by Predicted Synthesis Quality
This paper presents a method for adapting a language generator to the strengths and weaknesses of a synthetic voice, thereby improving the naturalness of synthetic speech in a spo...
Crystal Nakatsu, Michael White
ECML
2003
Springer
14 years 18 days ago
Leveraging Lexical Semantics to Infer Context-Free Grammars
Context-free grammars cannot be identified in the limit from positive examples (Gold, 1967), yet natural language grammars are more powerful than context-free grammars and humans ...
Tim Oates, Tom Armstrong, Justin Harris, Mark Nejm...