1929 search results - page 21 / 386 » Learning for Semantic Parsing |
ACL
1993
13 years 10 months ago
1993
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...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
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...
ACL
2008
13 years 10 months ago
2008
Previous studies of data-driven dependency parsing have shown that the distribution of parsing errors are correlated with theoretical properties of the models used for learning an...
ACL
2004
13 years 10 months ago
2004
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
ACL
2007
13 years 10 months ago
2007
This paper describes an incremental parser and an unsupervised learning algorithm for inducing this parser from plain text. The parser uses a representation for syntactic structur...