ACL RD-TEC 1.0 Summarization of C02-1127
Paper Title:
LOCATION NORMALIZATION FOR INFORMATION EXTRACTION
LOCATION NORMALIZATION FOR INFORMATION EXTRACTION
Authors: Huifeng Li and Rohini K. Srihari and Cheng Niu and Wei Li
Primarily assigned technology terms:
- algorithm
- disambiguation
- disambiguation process
- event extraction
- finite state
- finite state transducer
- graph search
- graph spanning
- hidden markov
- hidden markov model
- identification
- ie system
- information extraction
- learning
- location normalization
- machine learning
- markov model
- matching
- maxent
- maximum entropy
- maximum entropy model
- maximum spanning tree
- ne tagger
- ne tagging
- normalization
- normalization process
- processing
- ranking
- scoring
- search
- search engine
- search engines
- searching
- sense disambiguation
- sense identification
- spanning tree
- statistical processing
- sub-type tagging
- supervised machine learning
- tagger
- taggers
- tagging
- text retrieval
- transducer
- unsupervised approach
- visualization
- web search
- word sense disambiguation
Other assigned terms:
- ambiguity
- anaphors
- annotated corpus
- approach
- co-occurrence
- co-reference
- collocation
- context information
- data sparseness
- discourse
- discourse context
- discourse information
- document
- entropy
- entropy models
- events
- experimental results
- formalism
- gazetteer
- grammar
- ie task
- knowledge
- lexical information
- local context
- location name
- location name ambiguity
- maximum entropy models
- maximum similarity
- meaning
- mechanisms
- method
- named entity
- names
- normal form
- person names
- process
- search results
- search term
- selection restriction
- sentence
- slot
- synonyms
- system performance
- tag information
- tags
- term
- text
- tipster gazetteer
- training
- training data
- tree
- word
- word sense
- words
