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» Unsupervised grammar induction using history based approach
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NLPRS
2001
Springer
13 years 9 months ago
Learning Strategies In A Grammar Induction Framework
This work extends a semi-automatic grammar induction approach previously proposed in [1]. We investigate the use of Information Gain (IG) in place of Mutual Information (MI) for g...
Chin-Chung Wong, Helen M. Meng, Kai-Chung Siu
EMNLP
2010
13 years 3 months ago
Using Universal Linguistic Knowledge to Guide Grammar Induction
We present an approach to grammar induction that utilizes syntactic universals to improve dependency parsing across a range of languages. Our method uses a single set of manually-...
Tahira Naseem, Harr Chen, Regina Barzilay, Mark Jo...
ACL
1993
13 years 6 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...
IJCAI
1997
13 years 6 months ago
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
Tu Bao Ho, Chi Main Luong
COLING
1996
13 years 6 months ago
Using a Hybrid System of Corpus- and Knowledge-Based Techniques to Automate the Induction of a Lexical Sublanguage Grammar
Porting a Natural Language Processing (NLP) system to a new domain remains one of the bottlenecks in syntactic parsing, because of the amount of effort required to fix gaps in the...
Geert Jan Wilms