ACL RD-TEC 1.0 Summarization of W04-1216
Paper Title:
NAMED ENTITY RECOGNITION IN BIOMEDICAL TEXTS USING AN HMM MODEL
NAMED ENTITY RECOGNITION IN BIOMEDICAL TEXTS USING AN HMM MODEL
Primarily assigned technology terms:
- back-off smoothing
- clustering
- computing
- data preparation
- entity recognition
- hidden markov
- hidden markov model
- information extraction
- information retrieval
- knowledge discovery
- language processing
- learning
- machine learning
- markov model
- message understanding
- named entity recognition
- natural language processing
- parser
- processing
- recognition
- similarity-based smoothing
- smoothing
- smoothing method
- unigram smoothing
Other assigned terms:
- abbreviation
- approach
- bigram
- biomedical domain
- biomedical text
- case
- context vectors
- data sparseness
- dependency relationship
- distribution
- distributional similarity
- domain knowledge
- feature
- feature types
- feature vector
- feature vectors
- genia
- hmm model
- knowledge
- meanings
- measure
- measures
- medline
- message
- message understanding conference
- method
- mutual information
- named entities
- named entity
- natural language
- nouns
- part of speech
- pos tag
- probability
- proximity-based similarity
- schema
- semantic
- semantic category
- semantic information
- semantic tag
- sentence
- similarity between words
- similarity measure
- similarity measures
- suffix
- tags
- test data
- testing data
- text
- training
- training data
- understanding
- unigram
- unlabeled corpus
- vocabulary
- word
- word distribution
- word features
- word formation
- word information
- word sequence
- word similarity
- words
