ACL RD-TEC 1.0 Summarization of W04-1215
Paper Title:
ANNOTATING MULTIPLE TYPES OF BIOMEDICAL ENTITIES: A SINGLE WORD CLASSIFICATION APPROACH
ANNOTATING MULTIPLE TYPES OF BIOMEDICAL ENTITIES: A SINGLE WORD CLASSIFICATION APPROACH
Authors: Chih Lee and Wen-Juan Hou and Hsin-Hsi Chen
Primarily assigned technology terms:
- classification
- classification approach
- classifier
- clustering
- cutoff
- data mining
- entity recognition
- feature extraction
- gene\/protein name annotation
- hierarchical clustering
- information extraction
- kernel
- matching
- maximum likelihood
- mining
- named entity recognition
- optimization
- part of speech tagging
- recognition
- recognizer
- sampling
- single word classification
- speech tagger
- speech tagging
- splitting
- stratified sampling
- support vector machines
- tagger
- taggers
- tagging
- training process
- word classification
Other assigned terms:
- annotation
- approach
- biomedical domain
- classification problem
- coefficient
- concept
- concepts
- contextual information
- data set
- distribution
- edit distance
- extraction process
- feature
- feature vector
- gene name
- gene names
- gene\/protein name
- kernel function
- lexicon
- likelihood
- measure
- named entities
- named entity
- names
- noise
- part of speech
- part-of-speech
- part-of-speech information
- precision
- process
- protein names
- punctuation
- sentence
- sentences
- standard deviation
- statistics
- stochastic model
- support vector
- svms
- training
- training data
- word
- word level
- words
