ACL RD-TEC 1.0 Summarization of W03-1304
Paper Title:
ENHANCING PERFORMANCE OF PROTEIN NAME RECOGNIZERS USING COLLOCATION
ENHANCING PERFORMANCE OF PROTEIN NAME RECOGNIZERS USING COLLOCATION
Authors: Wen-Juan Hou and Hsin-Hsi Chen
Primarily assigned technology terms:
- binding
- computer science
- computing
- corpus-based approach
- database
- document understanding
- entity recognition
- hidden markov
- hidden markov model
- hypothesis testing
- information extraction
- language generation
- markov model
- matching
- message understanding
- mining
- name extraction
- name recognition
- name recognizer
- name tagging
- named entity recognition
- natural language generation
- objective evaluation
- parsing
- pathway discovery
- pattern matching
- preprocessing
- protein name extraction
- protein name recognition
- protein name tagging
- recognition
- recognizer
- rule-based approach
- statistical methods
- tagger
- taggers
- tagging
- transduction
Other assigned terms:
- approach
- baseline model
- co-occurrences
- collocate
- collocation
- concept
- contextual information
- dictionary
- dictionary entries
- document
- domain corpus
- experimental results
- f-score
- gene names
- generation
- genia
- genia corpus
- heuristic
- hypothesis
- inflected form
- knowledge
- knowledge base
- lexicon
- medline
- message
- method
- named entities
- named entity
- names
- natural language
- noun phrases
- nouns
- parts of speech
- personal names
- precision
- preposition
- prepositions
- probability
- procedure
- protein names
- scientific text
- signal
- standard deviation
- statistics
- stem
- stopword list
- tagged corpus
- technologies
- terms
- test corpus
- test set
- text
- training
- understanding
- word
- words
