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NIPS
2001
13 years 7 months ago
Natural Language Grammar Induction Using a Constituent-Context Model
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
Dan Klein, Christopher D. Manning
IJCAI
2003
13 years 7 months ago
GRAEL: an agent-based evolutionary computing approach for natural language grammar development
This paper describes an agent-based evolutionary computing technique called GRAEL (Grammar Evolution), that is able to perform different natural language grammar optimization and ...
Guy De Pauw
EACL
1993
ACL Anthology
13 years 7 months ago
A Probabilistic Context-free Grammar for Disambiguation in Morphological Parsing
One of the major problems one is faced with when decomposing words into their constituent parts is ambiguity: the generation of multiple analyses for one input word, many of which...
Josée S. Heemskerk
ACL
2004
13 years 7 months ago
Alternative approaches for Generating Bodies of Grammar Rules
We compare two approaches for describing and generating bodies of rules used for natural language parsing. In today's parsers rule bodies do not exist a priori but are genera...
Gabriel G. Infante López, Maarten de Rijke
ACL
1993
13 years 7 months ago
Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...