Collective information extraction using first-order probabilistic models.

Slavko Zitnik Lovro Subelj Dejan Lavbic Aljaz Zrnec Marko Bajec

Published in: BCI (2012)

Keyphrases

probabilistic model
information extraction
conditional random fields
relational learning
graphical models
generative model
natural language processing
named entity recognition
higher order
precision and recall
text mining

machine learning
first order logic
free text
latent variables
question answering
language model
web documents
text processing
expectation maximization
probabilistic modeling
bayesian networks

information retrieval
collective intelligence
structured data
semi structured
bayesian inference
hidden variables
open domain
horn clauses
relation extraction
quantifier elimination
ontology based information extraction

text documents
named entities
natural language
textual data
stochastic dominance
machine translation
natural language text
social networks
artificial intelligence
semantic tagging
data sets