ACL RD-TEC 1.0 Summarization of W06-3328
Paper Title:
BOOTSTRAPPING AND EVALUATING NAMED ENTITY RECOGNITION IN THE BIOMEDICAL DOMAIN
BOOTSTRAPPING AND EVALUATING NAMED ENTITY RECOGNITION IN THE BIOMEDICAL DOMAIN
Authors: Andreas Vlachos and Caroline Gasperin
Primarily assigned technology terms:
- active learning
- algorithm
- anaphora resolution
- bootstrapping
- bootstrapping method
- capitalization
- classification
- classifier
- data generation
- databases
- encoding
- entity recognition
- entity recognition system
- entity recognizer
- error analysis
- gene name recognition
- identification
- information extraction
- learning
- matching
- morphology
- name recognition
- name recognizer
- named entity recognition
- named entity recognizer
- parsers
- part-of-speech tagging
- pattern matching
- postprocessing
- processing
- recognition
- recognition system
- recognizer
- supervised method
- supervised training
- tagger
- tagging
- tokenization
- tokenizer
- transcription
Other assigned terms:
- agreement score
- anaphora
- annotation
- annotation scheme
- annotators
- approach
- biology
- biomedical domain
- biomedical research
- biomedical text
- case
- characters
- coefficient
- computational linguist
- computational linguists
- dictionary
- dictionary entries
- drosophila
- entropy
- evaluation metric
- f-score
- flybase
- gene name
- gene names
- generation
- generation process
- inter-annotator agreement
- kappa
- kappa coefficient
- knowledge
- lexical context
- linguist
- linguists
- manual annotation
- measure
- method
- named entities
- named entity
- names
- noise
- noisy training material
- noun phrase
- noun phrases
- part-of-speech
- phrase
- precision
- process
- protein names
- punctuation
- sentence
- sentences
- statistics
- synonyms
- technique
- terms
- test data
- test set
- text
- tokens
- toolkit
- training
- training data
- training dataset
- training material
- training set
- word
- words
