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» Unsupervised Semantic Parsing
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ACL
1993
15 years 3 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...
118
Voted
CORR
2006
Springer
132views Education» more  CORR 2006»
15 years 1 months ago
Packrat Parsing: Simple, Powerful, Lazy, Linear Time
Packrat parsing is a novel technique for implementing parsers in a lazy functional programming language. A packrat parser provides the power and flexibility of top-down parsing wi...
Bryan Ford
ACL
2003
15 years 3 months ago
Constructing Semantic Space Models from Parsed Corpora
Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
Sebastian Padó, Mirella Lapata
92
Voted
EMNLP
2006
15 years 3 months ago
Detecting Parser Errors Using Web-based Semantic Filters
NLP systems for tasks such as question answering and information extraction typically rely on statistical parsers. But the efficacy of such parsers can be surprisingly low, partic...
Alexander Yates, Stefan Schoenmackers, Oren Etzion...
116
Voted
ACL
2004
15 years 3 months ago
Annealing Techniques For Unsupervised Statistical Language Learning
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
Noah A. Smith, Jason Eisner