ACL RD-TEC 1.0 Summarization of C04-1080
Paper Title:
PART-OF-SPEECH TAGGING IN CONTEXT
PART-OF-SPEECH TAGGING IN CONTEXT
Authors: Michele Banko and Robert C. Moore
Primarily assigned technology terms:
- acoustic modeling
- algorithm
- baum-welch algorithm
- computing
- conditional random fields
- crfs
- hidden markov
- hidden markov model
- hmm tagger
- hmms
- learner
- learning
- lexicon construction
- markov model
- maximum entropy
- model training
- modeling
- part of speech tagging
- part-of-speech tagger
- part-of-speech tagging
- recognition
- speech recognition
- speech tagging
- supervised tagging
- tagger
- taggers
- tagging
- tagging algorithm
- thresholding
- training procedure
- transformation-based learning
- treebank construction
- trigram tagger
- unsupervised tagging
- unsupervised training
- viterbi
- viterbi algorithm
Other assigned terms:
- annotators
- approach
- bias
- brown corpus
- case
- conditional markov model
- conditional model
- context size
- contextual information
- convergence
- corpora
- dictionaries
- dictionary
- distribution
- entropy
- error rate
- estimation
- feature
- hmm model
- human annotators
- implementation
- knowledge
- labeling
- lexical item
- lexicon
- log-linear models
- markov models
- method
- n-grams
- names
- noise
- nouns
- part of speech
- part-of-speech
- part-of-speech tag
- part-of-speech tags
- parts of speech
- penn treebank
- phrase
- phrase attachment
- prepositional phrase
- prepositional phrase attachment
- probabilities
- probability
- procedure
- pronouns
- relative frequency
- sentence
- tag sequence
- tag set
- tagged corpus
- tagging accuracy
- tagging model
- tags
- technique
- test data
- test set
- text
- training
- training and test data
- training data
- training set
- training text
- transformation
- transition probabilities
- treebank
- trigram
- word
- word classes
- words
