ACL RD-TEC 1.0 Summarization of H89-2014
Paper Title:
AUGMENTING A HIDDEN MARKOV MODEL FOR PHRASE-DEPENDENT WORD TAGGING
AUGMENTING A HIDDEN MARKOV MODEL FOR PHRASE-DEPENDENT WORD TAGGING
Primarily assigned technology terms:
- algorithm
- automatic tagging
- back-propagation
- baum-welch algorithm
- category assignment
- disambiguation
- editing
- hidden markov
- hidden markov model
- hyphenation
- information retrieval
- language modeling
- linking
- lisp programming language
- markov model
- modeling
- parsing
- part-of-speech assignment
- partitioning
- programming language
- smoothing
- speech recognition\/synthesis
- statistical methods
- tag assignment
- tagger
- tagging
- training algorithm
- training procedure
- viterbi
- viterbi algorithm
- word tagging
Other assigned terms:
- abbreviation
- abbreviations
- adjective
- adverb
- ambiguous words
- approach
- benchmark
- bias
- brown corpus
- category model
- derivational equivalence
- determiner
- dictionary
- distribution
- document
- electronic mail
- english text
- estimation
- fact
- grammar
- implementation
- information science
- knowledge
- lexical context
- linguistic
- linguistic knowledge
- lisp
- local word context
- markov models
- method
- model parameters
- mutual information
- noun phrases
- nouns
- part-of-speech
- phrase
- preposition
- prepositional phrase
- probabilities
- probability
- probability distribution
- procedure
- pronoun
- punctuation
- semantic
- semantic roles
- sentence
- sentence boundaries
- sentence fragment
- sentences
- stems
- subject\/verb agreement
- symbols
- tags
- technology
- terms
- test data
- text
- tokens
- topology
- training
- training corpus
- training data
- training text
- transition probabilities
- transition probability
- verb
- vocabulary
- word
- word dependency
- word dictionary
- word sequence
- words
