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CIKM
2011
Springer
12 years 8 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
WER
2007
Springer
14 years 2 months ago
Evolving Use Case Maps as a Scenario and Workflow Description Language
Since 1996, the core Use Case Map (UCM) notation has remained remarkably stable. As the structure and intent of workflow and scenario languages are very similar, UCMs have been ap...
Gunter Mussbacher
IJAR
2008
83views more  IJAR 2008»
13 years 8 months ago
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
Alessandro Antonucci, Marco Zaffalon
NIPS
2000
13 years 9 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
EMNLP
2010
13 years 6 months ago
Unsupervised Parse Selection for HPSG
Parser disambiguation with precision grammars generally takes place via statistical ranking of the parse yield of the grammar using a supervised parse selection model. In the stan...
Rebecca Dridan, Timothy Baldwin