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ACL
2012
11 years 8 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ā€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
LREC
2010
139views Education» more  LREC 2010»
13 years 7 months ago
Automatically Identifying Changes in the Semantic Orientation of Words
The meanings of words are not fixed but in fact undergo change, with new word senses arising and established senses taking on new aspects of meaning or falling out of usage. Two t...
Paul Cook, Suzanne Stevenson
CIKM
2009
Springer
14 years 10 days ago
Identifying interesting assertions from the web
How can we cull the facts we need from the overwhelming mass of information and misinformation that is the Web? The TextRunner extraction engine represents one approach, in which ...
Thomas Lin, Oren Etzioni, James Fogarty
NECO
2000
88views more  NECO 2000»
13 years 5 months ago
Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable, i.e., different values of the mixture parameters can correspond to exactly the...
Miguel Á. Carreira-Perpiñán, ...
RE
2007
Springer
13 years 12 months ago
Scenarios: Identifying Missing Objects and Actions by Means of Computational Linguistics
In industrial requirements documents natural language is the main presentation means. In such documents, system behavior is speciļ¬ed in the form of scenarios, written as a seque...
Leonid Kof