Collective information extraction using first-order probabilistic models.
Slavko ZitnikLovro SubeljDejan LavbicAljaz ZrnecMarko BajecPublished 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