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EMNLP
2009
14 years 9 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
EMNLP
2009
14 years 9 months ago
EEG responds to conceptual stimuli and corpus semantics
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
Brian Murphy, Marco Baroni, Massimo Poesio
EMNLP
2011
13 years 11 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
LREC
2010
201views Education» more  LREC 2010»
15 years 1 months ago
Idioms in Context: The IDIX Corpus
Idioms and other figuratively used expressions pose considerable problems to natural language processing applications because they are very frequent and often behave idiosyncratic...
Caroline Sporleder, Linlin Li, Philip Gorinski, Xa...
ACL
1993
15 years 1 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...