A probabilistic model for linking named entities in web text with heterogeneous information networks.
Wei ShenJiawei HanJianyong WangPublished in: SIGMOD Conference (2014)
Keyphrases
- named entities
- probabilistic model
- personal names
- text mining
- named entity disambiguation
- text documents
- web news
- information extraction
- textual data
- web documents
- heterogeneous information networks
- named entity recognition
- text corpus
- natural language processing
- relation extraction
- co occurrence
- question answering
- information networks
- web pages
- heterogeneous networks
- bayesian networks
- graphical models
- annotated corpus
- information retrieval
- machine learning
- unsupervised learning
- generative model
- language model
- textual information
- data mining
- news stories
- text retrieval
- topic models
- topic modeling
- multiple types
- network analysis
- data objects
- news articles
- real world
- social networks