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121
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IJCAI
2001
15 years 2 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
118
Voted
NIPS
2003
15 years 2 months ago
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
120
Voted
NAACL
1994
15 years 2 months ago
Recent Improvements in the CMU Spoken Language Understanding System
We have been developing a spoken language system to recognize and understand spontaneous speech. It is difficult for such systems to achieve good coverage of the lexicon and gramm...
Wayne Ward, Sunil Issar
113
Voted
CEC
2010
IEEE
15 years 1 months ago
Evolving natural language grammars without supervision
Unsupervised grammar induction is one of the most difficult works of language processing. Its goal is to extract a grammar representing the language structure using texts without a...
Lourdes Araujo, Jesus Santamaria
IS
2008
15 years 24 days ago
DFL: A dataflow language based on Petri nets and nested relational calculus
In this paper we propose DFL -- a formal, graphical workflow language for dataflows, i.e., workflows where large amounts of complex data are manipulated, and the structure of the ...
Jan Hidders, Natalia Kwasnikowska, Jacek Sroka, Je...