ACL RD-TEC 1.0 Summarization of C02-1025
Paper Title:
NAMED ENTITY RECOGNITION: A MAXIMUM ENTROPY APPROACH USING GLOBAL INFORMATION
NAMED ENTITY RECOGNITION: A MAXIMUM ENTROPY APPROACH USING GLOBAL INFORMATION
Authors: Hai Leong Chieu and Hwee Tou Ng
Primarily assigned technology terms:
- algorithm
- broadcasting
- classification
- classifier
- classifiers
- cutoff
- dynamic programming
- dynamic programming algorithm
- entity recognition
- entity recognizer
- entropy classifier
- error-correction
- feature selection
- generalized iterative scaling
- hidden markov
- hidden markov model
- indexing
- information extraction
- iterative method
- iterative scaling
- learning
- learning methods
- machine learning
- machine learning methods
- machine-learning
- manufacturing
- markov model
- maximum entropy
- maximum entropy approach
- maximum entropy classifier
- maximum entropy framework
- maximum entropy system
- maximum-likelihood
- message understanding
- named entity recognition
- named entity recognizer
- nlp
- normalization
- programming algorithm
- question answering
- recognition
- recognizer
- reference resolution
- reporting
- smoothing
Other assigned terms:
- abbreviations
- acronym
- approach
- backoff
- binary features
- case
- case information
- data set
- data sets
- dictionaries
- distribution
- document
- entity recognition task
- entropy
- estimation
- experimental results
- fact
- feature
- feature description
- fmeasure
- genre
- knowledge
- lexicon
- meaning
- message
- message understanding conferences
- method
- name class
- named entities
- named entity
- named entity task
- named-entity
- names
- nlp applications
- organization names
- person names
- probabilities
- probability
- probability distribution
- procedure
- process
- recognition task
- sentence
- sentences
- statistics
- substring
- suffixes
- system description
- tags
- test corpus
- test data
- text
- tokens
- training
- training corpus
- training data
- training material
- transition probability
- understanding
- word
- word classes
- wordnet
- words
