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ACL
1994
13 years 11 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
BMCBI
2010
98views more  BMCBI 2010»
13 years 10 months ago
Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents
Background: Drug-drug interactions are frequently reported in the increasing amount of biomedical literature. Information Extraction (IE) techniques have been devised as a useful ...
Isabel Segura-Bedmar, Mario Crespo, César d...
COGSCI
2010
125views more  COGSCI 2010»
13 years 10 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
BSL
2006
114views more  BSL 2006»
13 years 10 months ago
Schemata: The Concept of Schema in the History of Logic
Schemata have played important roles in logic since Aristotle's Prior Analytics. The syllogistic figures and moods can be taken to be argument schemata as can the rules of the...
John Corcoran
LOGCOM
2008
94views more  LOGCOM 2008»
13 years 10 months ago
Preservation of Interpolation Features by Fibring
Fibring is a metalogical constructor that permits to combine different logics by operating on their deductive systems under certain natural restrictions, as for example that the t...
Walter Alexandre Carnielli, João Rasga, Cri...