ACL RD-TEC 1.0 Summarization of P05-2006
Paper Title:
AUTOMATIC DISCOVERY OF INTENTIONS IN TEXT AND ITS APPLICATION TO QUESTION ANSWERING
AUTOMATIC DISCOVERY OF INTENTIONS IN TEXT AND ITS APPLICATION TO QUESTION ANSWERING
Primarily assigned technology terms:
- algorithm
- classification
- classification process
- classifier
- classifiers
- decision trees
- disambiguation
- error analysis
- kernel
- learning
- learning algorithm
- learning framework
- machine learning
- machine learning algorithm
- matching
- nlp
- nlp systems
- parser
- processing
- question answering
- question answering system
- question processing
- searching
- semantic generalization
- semantic parser
- sense disambiguation
- surface-level matching
- svm learning
- word sense disambiguation
Other assigned terms:
- answer type
- approach
- bias
- brown corpus
- candidate answer
- concept
- concepts
- derivation
- document
- experimental results
- feature
- feature set
- feature sets
- hyponym
- hyponyms
- inference rules
- intention
- learning model
- lexical semantics
- logic
- meaning
- method
- names
- nouns
- part-of-speech
- phrase
- process
- processing module
- reflexivity
- relation
- semantic
- semantic class
- semantic classes
- semantic features
- semantic relation
- semantic relations
- semcor
- sentence
- sentences
- set size
- statistics
- synonym
- syntactic features
- syntactic pattern
- syntactic patterns
- syntax
- syntax and semantics
- terms
- test set
- testing data
- text
- text collection
- text documents
- training
- training data
- training examples
- training set
- training set size
- transitivity
- trees
- verb
- word
- word sense
- wordnet
- wordnet sense
- wordnet senses
- words
