ACL RD-TEC 1.0 Summarization of W04-0842
Paper Title:
WSD SYSTEM BASED ON SPECIALIZED HIDDEN MARKOV MODEL (UPV-SHMM-EAW)
WSD SYSTEM BASED ON SPECIALIZED HIDDEN MARKOV MODEL (UPV-SHMM-EAW)
Authors: Antonio Molina and Ferran Pla and Encarna Segarra
Primarily assigned technology terms:
- algorithm
- computational linguistics
- disambiguation
- disambiguation process
- hidden markov
- hidden markov model
- hidden markov models
- learning
- learning process
- linear interpolation
- markov model
- maximum likelihood
- parsing
- part-of-speech tagging
- selection process
- semantic analysis
- semantic tagging
- sense disambiguation
- shallow parsing
- smoothing
- smoothing method
- tagging
- tagging process
- tuning
- viterbi
- viterbi algorithm
- word sense disambiguation
Other assigned terms:
- ambiguity
- annotated corpora
- approach
- association for computational linguistics
- bigram
- bigram model
- corpora
- data set
- development set
- dictionary
- estimation
- fact
- feature
- formalism
- interpolation
- knowledge
- lemma
- lexicographer
- likelihood
- linguistic
- linguistic information
- linguistics
- markov models
- method
- nouns
- part-of-speech
- probabilities
- probability
- process
- semantic
- semantic categories
- semantic category
- semantic knowledge
- semantic tag
- semantic tags
- semcor
- semcor corpus
- sentence
- symbol
- symbols
- synsets
- system description
- tag set
- tagging problem
- tags
- technique
- test data
- test data set
- text
- topology
- training
- training corpus
- training data
- training data set
- training set
- transition probabilities
- vocabulary
- word
- word sense
- wordnet
- wordnet senses
- words
