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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2009
14 years 7 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
14 years 11 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
15 years 4 months ago
Model-Based Testing Using LSCs and S2A
Shahar Maoz, Jani Metsä, Mika Katara
CEC
2010
IEEE
14 years 10 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