ACL RD-TEC 1.0 Summarization of W99-0607
Paper Title:
APPLYING EXTRASENTENTIAL CONTEXT TO MAXIMUM ENTROPY BASED TAGGING WITH A LARGE SEMANTIC AND SYNTACTIC TAGSET
APPLYING EXTRASENTENTIAL CONTEXT TO MAXIMUM ENTROPY BASED TAGGING WITH A LARGE SEMANTIC AND SYNTACTIC TAGSET
Authors: Ezra Black and Andrew Finch and Ruigiang Zhang
Primarily assigned technology terms:
Other assigned terms:
- adjective
- adverb
- approach
- baseline model
- bigram
- case
- contextual information
- distribution
- document
- entropy
- events
- experimental results
- fact
- feature
- grammatical relations
- information gain
- intention
- labeling
- local context
- markup
- measure
- measures
- method
- model performance
- mutual information
- n-gram
- n-grams
- noise
- nouns
- part-of-speech
- part-of-speech tag
- perplexity
- perplexity reduction
- probability
- probability model
- procedure
- process
- semantic
- semantic categories
- semantic category
- semantic constraints
- semantic context
- semantic information
- semantic label
- sentence
- sentences
- sources of information
- syntax
- tag set
- tagging accuracy
- tagging model
- tagging performance
- tags
- tagset
- technique
- terms
- text
- training
- training data
- training set
- treebank
- trigram
- uniform distribution
- unigram
- verb
- wall street journal corpus
- word
- words
