ACL RD-TEC 1.0 Summarization of W00-0732
Paper Title:
IMPROVING CHUNKING BY MEANS OF LEXICAL-CONTEXTUAL INFORMATION IN STATISTICAL LANGUAGE MODELS
IMPROVING CHUNKING BY MEANS OF LEXICAL-CONTEXTUAL INFORMATION IN STATISTICAL LANGUAGE MODELS
Authors: Ferran Pla and Antonio Molina and Natividad Prieto
Primarily assigned technology terms:
- algorithm
- analyzer
- backoff technique
- chunker
- chunking
- dynamic programming
- final state
- finite-state automata
- finite-state machine
- grammatical inference
- learning
- learning process
- morphological analyzer
- parsing
- pos tagger
- segmentation
- shallow parsing
- tagger
- tagging
- tile
- tile chunker
- transducer
- viterbi
- viterbi algorithm
Other assigned terms:
- approach
- automata
- backoff
- bigram
- case
- chunk
- chunks
- contextual information
- contextual model
- corpora
- data set
- dictionary
- fact
- formalism
- knowledge
- language model
- language models
- lexical information
- lexicon
- markov models
- nouns
- parsing process
- pos tag
- probabilities
- probability
- process
- punctuation
- sbar
- sentence
- sentences
- symbols
- tag set
- tags
- technique
- terms
- test data
- test set
- training
- training and test data
- training corpus
- training data
- training data set
- training set
- word
- words
