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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2009
13 years 5 months ago
A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
Qiuye Zhao, Mitch Marcus
FLAIRS
2004
13 years 9 months ago
A Computational Psycholinguistic Model of Natural Language Processing
Double R Model (Referential and Relational model) is a computational psycholinguistic model of NLP founded on the principles of Cognitive Linguistics and implemented using the ACT...
Jerry T. Ball
MODELS
2009
Springer
14 years 2 months ago
Model-Based Testing Using LSCs and S2A
Shahar Maoz, Jani Metsä, Mika Katara
CEC
2010
IEEE
13 years 8 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