ACL RD-TEC 1.0 Summarization of C04-1033
Paper Title:
AN NP-CLUSTER BASED APPROACH TO COREFERENCE RESOLUTION
AN NP-CLUSTER BASED APPROACH TO COREFERENCE RESOLUTION
Authors: Xiaofeng Yang and Jian Su and GuoDong Zhou and Chew Lim Tan
Primarily assigned technology terms:
- algorithm
- antecedent selection
- binary classiflcation
- binding
- chunking
- classiflcation
- classifler
- cluster selection
- clustering
- clustering algorithm
- coreference resolution
- coreference resolution system
- data collection
- decision tree
- decision trees
- error-driven learning
- extraction system
- identiflcation
- information extraction
- information extraction system
- instance selection
- learning
- learning algorithm
- learning approaches
- learning framework
- linking
- machine learning
- machine learning approaches
- matching
- mining
- ne recognition
- nlp
- np coreference resolution
- null clustering
- part-of-speech tagging
- pronoun resolution
- recognition
- reference determination
- scoring
- selection strategy
- stopword removal
- string matching
- supervised learning
- supervised machine learning
- tagging
- text chunking
- training procedure
- unsupervised approach
- word stemming
Other assigned terms:
- acronym
- anaphor
- annotated corpus
- approach
- best-first strategy
- biomedical domain
- cluster
- clusters
- coreference corpus
- cross-document coreference
- data set
- document
- entity types
- experimental results
- f-measure
- fact
- feature
- feature value
- feature vector
- genia
- heuristic
- knowledge
- leaf
- likelihood
- measure
- medline
- noun phrase
- noun phrases
- nouns
- part-of-speech
- phrase
- precision
- procedure
- process
- pronoun
- pronouns
- recognition component
- scoring scheme
- semantic
- semantic agreement
- semantic class
- similarity function
- string similarity
- system performance
- terms
- testing data
- text
- text segment
- tokens
- training
- training data
- training document
- training instance
- tree
- trees
- word
- words