ACL RD-TEC 1.0 Summarization of P04-1076
Paper Title:
WEAKLY SUPERVISED LEARNING FOR CROSS-DOCUMENT PERSON NAME DISAMBIGUATION SUPPORTED BY INFORMATION EXTRACTION
WEAKLY SUPERVISED LEARNING FOR CROSS-DOCUMENT PERSON NAME DISAMBIGUATION SUPPORTED BY INFORMATION EXTRACTION
Authors: Cheng Niu and Wei Li and Rohini K. Srihari
Primarily assigned technology terms:
- algorithm
- clustering
- corpus construction
- data analysis
- disambiguation
- hard clustering
- information extraction
- learning
- machine learning
- maximum entropy
- measuring
- modeling
- name disambiguation
- optimization
- person name disambiguation
- search
- searching
- supervised learning
- weakly supervised learning
- weighting
Other assigned terms:
- approach
- bayesian framework
- conditional probabilities
- conditional probability
- context features
- context similarity
- coreference chains
- corpora
- disambiguation task
- distribution
- document
- entity coreference
- entropy
- f-measure
- feature
- knowledge
- large corpora
- linguistic
- linguistic expressions
- names
- person names
- prior probability
- probabilities
- probability
- probability distribution
- process
- relation
- symbol
- symbols
- training
- training corpora
- weighting scheme
- words
