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ACL
1997

Learning Parse and Translation Decisions from Examples with Rich Context

10 years 4 months ago
Learning Parse and Translation Decisions from Examples with Rich Context
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features which describe the morphological,syntactic, semantic and other aspects of a given parse state.
Ulf Hermjakob, Raymond J. Mooney
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where ACL
Authors Ulf Hermjakob, Raymond J. Mooney
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