ACL RD-TEC 1.0 Summarization of W04-1217
Paper Title:
EXPLOITING CONTEXT FOR BIOMEDICAL ENTITY RECOGNITION: FROM SYNTAX TO THE WEB
EXPLOITING CONTEXT FOR BIOMEDICAL ENTITY RECOGNITION: FROM SYNTAX TO THE WEB
Authors: Jenny Finkel and Shipra Dingare and Huy Nguyen and Malvina Nissim and Christopher Manning and Gail Sinclair
Primarily assigned technology terms:
- biomedical entity recognition
- biomedical named entity recognition
- bionlp
- boundary detection
- capitalization
- classification
- classifier
- collapsing
- databases
- disambiguation
- entity recognition
- extraction systems
- google api
- information extraction
- information extraction systems
- language processing
- learning
- learning system
- machine learning
- markov model
- matching
- maximum entropy
- mining
- named entity recognition
- natural language processing
- parser
- part-of-speech tagging
- processing
- querying
- recognition
- sense disambiguation
- stanford parser
- statistical parser
- tagger
- tagging
- text mining
- tnt tagger
- word sense disambiguation
Other assigned terms:
- abbreviation
- abbreviations
- ambiguity
- ambiguous words
- biology
- biomedical domain
- british national corpus
- characters
- chunks
- classification task
- confusion matrix
- contextual features
- document
- domain knowledge
- entropy
- entropy markov model
- evaluation data
- exact match
- expert domain knowledge
- fact
- feature
- feature value
- frequency counts
- gazetteer
- gene names
- gene ontology
- genia
- genia corpus
- gold standard
- governor
- inter-annotator agreement
- knowledge
- labeling
- language processing tasks
- locuslink
- mapping
- medline
- method
- named entities
- named entity
- names
- natural language
- natural language processing tasks
- noun phrase
- ontologies
- ontology
- part-of-speech
- phrase
- processing tasks
- protein names
- sentence
- suffix
- surface level
- syntactic features
- syntax
- system description
- tags
- term
- terms
- test data
- testing data
- text
- training
- training and testing data
- training corpus
- training data
- training material
- wall street journal text
- word
- word sense
- words
