ACL RD-TEC 1.0 Summarization of P98-1020
Paper Title:
TRIGGER-PAIR PREDICTORS IN PARSING AND TAGGING
TRIGGER-PAIR PREDICTORS IN PARSING AND TAGGING
Authors: Ezra Black and Andrew Finch and Hideki Kashioka
Primarily assigned technology terms:
- classification
- language modelling
- language parsing
- listing
- maximum-entropy
- model interpolation
- modelling
- mutual-information
- natural language parsing
- parser
- parsers
- parsing
- partitioning
- recognition
- recognition system
- semantic analysis
- speech recognition
- speech recognition system
- tagger
- taggers
- tagging
Other assigned terms:
- adjective
- alphabet
- ambiguity
- approach
- backoff
- bigram
- broad-coverage grammar
- cache
- case
- compounds
- contextual information
- correlation
- correlations
- dependency information
- device
- discourse
- distribution
- document
- document boundary
- document length
- english grammar
- entropy
- error rate
- experimental results
- exponential model
- fact
- grammar
- hypothesis
- idiom
- information gain
- intention
- interpolation
- knowledge
- language models
- markup
- maximum-entropy model
- measure
- mutual information
- n-gram
- natural language
- noun phrase
- nouns
- pairs of words
- parse
- parse tree
- parse-tree
- parsing models
- perplexity
- perplexity reduction
- phrase
- predictive information
- priori
- probabilities
- probability
- probability distribution
- probability estimate
- probability estimates
- process
- semantic
- semantic categories
- sentence
- sentences
- style
- tagging model
- tags
- tagset
- technique
- terms
- text
- text type
- tokens
- training
- training corpus
- training data
- training dataset
- training set
- tree
- treebank
- trigram
- trigram model
- unigram
- unigram model
- window size
- word
- word error rate
- words
