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» A Linguistic Theory of Robustness
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ACL
1993
14 years 11 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...
JUCS
2008
157views more  JUCS 2008»
14 years 9 months ago
Using Conjunctions and Adverbs for Author Verification
: Linguistics and stylistics have been investigated for author identification for quite a while, but recently, we have testified a impressive growth in the volume with which lawyer...
Daniel Pavelec, Luiz S. Oliveira, Edson J. R. Just...
KAIS
2006
121views more  KAIS 2006»
14 years 9 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
ACL
2010
14 years 8 months ago
Starting from Scratch in Semantic Role Labeling
A fundamental step in sentence comprehension involves assigning semantic roles to sentence constituents. To accomplish this, the listener must parse the sentence, find constituent...
Michael Connor, Yael Gertner, Cynthia Fisher, Dan ...
ACL
2010
14 years 8 months ago
Convolution Kernel over Packed Parse Forest
This paper proposes a convolution forest kernel to effectively explore rich structured features embedded in a packed parse forest. As opposed to the convolution tree kernel, the p...
Min Zhang, Hui Zhang, Haizhou Li