ACL RD-TEC 1.0 Summarization of P02-1060
Paper Title:
NAMED ENTITY RECOGNITION USING AN HMM-BASED CHUNK TAGGER
NAMED ENTITY RECOGNITION USING AN HMM-BASED CHUNK TAGGER
Authors: GuoDong Zhou and Jian Su
Primarily assigned technology terms:
- algorithm
- back-off modeling
- capitalization
- chunking
- classification
- computational linguistics
- decoding
- deterministic computation
- document management
- english ner
- entity recognition
- finite state
- forward-backward algorithm
- hidden markov
- hidden markov model
- hmms
- information extraction
- learning
- learning technique
- machine-learning
- markov model
- modeling
- named entity recognition
- ne recognition
- ngram modeling
- parsing
- pos tagging
- processing
- recognition
- regular expression
- rule-based system
- semantic classification
- smoothing
- surface parsing
- tagger
- taggers
- tagging
- text chunking
- viterbi
- viterbi algorithm
Other assigned terms:
- ambiguity
- approach
- capitalization information
- case
- chunk
- complex word
- conditional probability
- context feature
- context information
- document
- entity category
- experimental results
- f-measure
- fact
- feature
- gazetteer
- generative model
- human performance
- implementation
- independence assumption
- information independence
- knowledge
- lexicon
- linguistics
- local context
- measures
- muc-7 ne
- mutual information
- mutual information independence
- named entities
- named entity
- names
- ne task
- ner problem
- ngram
- noisy channel
- organization names
- part-of-speech
- person names
- portability
- precision
- probabilities
- probability
- process
- punctuation
- punctuation marks
- semantic
- semantic feature
- semantic information
- sentence
- sparseness problem
- statistical information
- symbols
- tag sequence
- tags
- taxonomy
- technique
- test data
- text
- tokens
- training
- training data
- verb
- word
- word information
- word string
- words
