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EMNLP
2006
14 years 11 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner
ICINCO
2004
102views Robotics» more  ICINCO 2004»
14 years 11 months ago
Toward Machines with Emotional Intelligence
For half a century, artificial intelligence researchers have focused on giving machines linguistic and mathematical-logical reasoning abilities, modeled after the classic linguist...
Rosalind W. Picard
NIPS
2003
14 years 11 months ago
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
CORR
2010
Springer
111views Education» more  CORR 2010»
14 years 10 months ago
Recognition and translation Arabic-French of Named Entities: case of the Sport places
The recognition of Arabic Named Entities (NE) is a problem in different domains of Natural Language Processing (NLP) like automatic translation. Indeed, NE translation allows the ...
Abdelmajid Ben Hamadou, Odile Piton, Héla F...
ACTAC
2006
126views more  ACTAC 2006»
14 years 10 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...