ACL RD-TEC 1.0 Summarization of W06-2208
Paper Title:
EXPANDING THE RECALL OF RELATION EXTRACTION BY BOOTSTRAPPING
EXPANDING THE RECALL OF RELATION EXTRACTION BY BOOTSTRAPPING
Authors: Junji Tomita and Stephen Soderland and Oren Etzioni
Primarily assigned technology terms:
- algorithm
- bootstrapping
- candidate extraction
- capitalization
- chunker
- classification
- classifier
- clustering
- co-training
- computing
- conditional random fields
- em algorithm
- entity classification
- entity recognition
- entity recognizer
- extraction system
- information extraction
- information extraction system
- knowitall
- knowledge engineering
- learning
- learning approaches
- learning method
- machine learning
- machine learning approaches
- match score calculation
- named entity classification
- named entity recognition
- named entity recognizer
- ne tagging
- np chunker
- parser
- pattern learning
- pattern representation
- qa system
- recognition
- recognizer
- regular expression
- relation extraction
- rule representation
- score calculation
- self-training
- semi-supervised relation extraction
- sequential learning
- smoothing
- string match
- supervised machine learning
- tagging
- unsupervised information extraction
Other assigned terms:
- annotated corpus
- approach
- bag of words
- binary feature
- case
- characters
- cluster
- clusters
- confidence score
- context vector
- data sets
- determiner
- dictionary
- entity recognition task
- entity type
- extraction patterns
- feature
- feature sets
- implementation
- index
- knowledge
- measure
- method
- named entity
- names
- noun phrase
- noun phrases
- nouns
- part of speech
- part-of-speech
- part-of-speech tags
- particle
- phrase
- precision
- probability
- proper noun
- recognition task
- relation
- representations
- seed
- sentence
- sentences
- speech tag
- tag sequence
- tagging task
- tags
- technique
- technology
- terms
- test set
- tokens
- training
- user
- window size
- word
- words
