ACL RD-TEC 1.0 Summarization of W04-0833
Paper Title:
SIMPLE FEATURES FOR STATISTICAL WORD SENSE DISAMBIGUATION
SIMPLE FEATURES FOR STATISTICAL WORD SENSE DISAMBIGUATION
Authors: Abolfazl Lamjiri and Osama El Demerdash and Leila Kosseim
Primarily assigned technology terms:
- approximate smoothing
- bayes learner
- computational linguistics
- disambiguation
- entropy learning
- inductive learning
- learner
- learning
- learning methods
- lemmatization
- max entropy
- maximum entropy
- maximum entropy learner
- maximum entropy method
- modeling
- pos tagger
- processing
- sense disambiguation
- sense disambiguator
- sense resolution
- smoothing
- smoothing method
- tagger
- tokenizer
- tuning
- validation
- word sense disambiguation
- word sense disambiguator
Other assigned terms:
- adjective
- ambiguous word
- ambiguous words
- approach
- association for computational linguistics
- bias
- characters
- content words
- context window
- context window size
- context words
- data set
- distribution
- domain information
- entropy
- evaluations
- feature
- heuristic
- hypernym
- hypothesis
- large training
- linguistics
- method
- noun phrase
- nouns
- part of speech
- phrase
- precision
- preposition
- probability
- probability value
- punctuation
- semantic
- semantic category
- semantic features
- senseval-3 training set
- synsets
- syntactic information
- syntactic structure
- syntactic structures
- syntax
- syntax and semantics
- target word
- tokens
- training
- training data
- training data set
- training samples
- training set
- verb
- window size
- word
- word classes
- word sense
- wordnet
- words
