ACL RD-TEC 1.0 Summarization of C00-2089
Paper Title:
TAGGING AND CHUNKING WITH BIGRAMS
TAGGING AND CHUNKING WITH BIGRAMS
Authors: Ferran Pla and Antonio Molina and Natividad Prieto
Primarily assigned technology terms:
- algorithm
- analyzer
- backoff technique
- chunker
- chunking
- decoding
- dynamic programing
- finite-state automata
- finite-state machine
- grammatical inference
- learning
- learning process
- morphological analyser
- morphological analyzer
- np chunker
- np chunking
- np-chunking
- parsing
- segmentation
- shallow parsing
- smoothing
- tagger
- taggers
- tagging
- tagging process
- tile
- tile tagging
- transducer
- viterbi
- viterbi algorithm
Other assigned terms:
- ambiguity
- ambiguous words
- analyser
- approach
- automata
- backoff
- bigram
- bigram model
- bracketed corpora
- case
- chunk
- chunks
- contextual information
- corpora
- dictionary
- distribution
- experimental results
- fact
- formalism
- input string
- knowledge
- language model
- lexical categories
- lexicon
- method
- parsing process
- part-of-speech
- part-of-speech tags
- penn treebank
- penn treebank tag
- penn treebank tag set
- pos tag
- precision
- probabilities
- probability
- process
- sentence
- sentences
- set size
- statistics
- symbol
- symbols
- syntactic description
- tag set
- tagging accuracy
- tags
- technique
- terms
- test set
- tile model
- toolkit
- training
- training corpus
- training set
- training set size
- transition probabilities
- treebank
- treebank tag set
- wall street journal corpus
- word
- word frequencies
- words
- wsj corpus
