ACL RD-TEC 1.0 Summarization of W02-2013
Paper Title:
NAMED ENTITY EXTRACTION WITH CONDITIONAL MARKOV MODELS AND CLASSIFIERS
NAMED ENTITY EXTRACTION WITH CONDITIONAL MARKOV MODELS AND CLASSIFIERS
Primarily assigned technology terms:
- classification
- classifier
- classifiers
- conditional random fields
- decoding
- decomposition
- entity extraction
- entity recognizer
- extractor
- feature engineering
- markov model
- naive bayes
- named entity extraction
- named entity recognizer
- probabilistic classifier
- recognition
- recognizer
- supervised training
- viterbi
- viterbi decoding
Other assigned terms:
- approach
- bias
- case
- classification component
- classification performance
- conditional distribution
- conditional markov model
- conditional model
- data set
- data sets
- data sparseness
- distribution
- dutch
- events
- fact
- feature
- finite set
- generative model
- independence assumption
- labeled training data
- language model
- markov models
- named entities
- named entity
- names
- parameter settings
- phrase
- precision
- priori
- probabilities
- probability
- probability distribution
- representations
- sentence
- sentential context
- sequence model
- tag sequence
- tags
- terms
- training
- training data
- word
- words
