ACL RD-TEC 1.0 Summarization of W04-0509
Paper Title:
ANALYSIS OF SEMANTIC CLASSES IN MEDICAL TEXT FOR QUESTION ANSWERING
ANALYSIS OF SEMANTIC CLASSES IN MEDICAL TEXT FOR QUESTION ANSWERING
Authors: Yun Niu and Graeme Hirst
Primarily assigned technology terms:
- apple pie parser
- automatic classification
- boundary detection
- classification
- classification process
- identification
- identification process
- information extraction
- information retrieval
- learning
- learning method
- machine-learning
- matching
- medical question answering
- parser
- parsing
- pattern construction
- pattern matching
- pattern-matching
- pie parser
- pre-processing
- query refinement
- question answering
- recognition
- relation analysis process
- role identification
- search
- semantic analysis
- summarization
- supervised learning
- support vector machines
- svm light
- terminology
- text analysis
- text classification
- text understanding
- topic-related summarization
- unsupervised approach
Other assigned terms:
- adjective
- adjective phrase
- approach
- case
- classification tasks
- concept
- concepts
- context features
- cue words
- detection task
- document
- events
- feature
- feature set
- feature vector
- framenet
- identification task
- index
- knowledge
- knowledge base
- large training
- lexicon
- mapping
- medical terminology
- method
- named entities
- names
- negation
- noun phrase
- noun phrases
- nouns
- parse
- partof-speech
- phrase
- polarity
- prepositional phrase
- procedure
- process
- punctuation
- punctuation mark
- query
- relation
- semantic
- semantic categories
- semantic category
- semantic class
- semantic classes
- semantic network
- semantic roles
- sentence
- sentence level
- sentences
- signal
- sparse data
- sparse data problem
- specialist lexicon
- support vector
- svms
- symbol
- symbols
- syntactic structures
- term
- terms
- test set
- text
- training
- training set
- training text
- umls
- understanding
- unified medical language
- unigram
- user
- verb
- word
- words
