ACL RD-TEC 1.0 Summarization of P03-1064
Paper Title:
A SNOW BASED SUPERTAGGER WITH APPLICATION TO NP CHUNKING
A SNOW BASED SUPERTAGGER WITH APPLICATION TO NP CHUNKING
Authors: Libin Shen and Aravind K. Joshi
Primarily assigned technology terms:
- algorithm
- beam search
- chunker
- chunking
- classifier
- classifiers
- conditional random fields
- crfs
- decoding
- decomposition
- error reduction
- inference algorithm
- java
- learning
- learning algorithm
- learning algorithms
- learning techniques
- lexical selection
- local normalization
- machine learning
- machine learning algorithms
- machine learning techniques
- maximum-entropy
- modeling
- normalization
- np chunker
- np chunking
- pairwise voting
- parameter estimation
- pos tagger
- pos tagging
- probability estimation
- processor
- search
- sequential inference
- supertagging
- tagger
- tagging
- tagging process
- text chunking
- viterbi
- viterbi algorithm
- viterbi search
- voting
Other assigned terms:
- ambiguity
- approach
- back-off model
- beam
- bias
- bigram
- case
- chunk
- chunks
- contextual model
- data set
- determiner
- distribution
- elementary tree
- estimation
- f-score
- fact
- feature
- feature set
- feature sets
- frame
- generative models
- gold standard
- grammar
- head word
- heuristic
- heuristic rules
- knowledge
- learning machine
- lexical item
- lexical preference
- linguistic
- linguistic knowledge
- local context
- long distance dependencies
- mapping
- mapping table
- maximum-entropy model
- method
- modifier
- norm
- penn treebank
- phrase
- pos tag
- precision
- probabilities
- probability
- process
- ptb
- sentence
- sequential model
- set size
- suffix
- supertag
- supertag set
- supertags
- syntactic information
- syntactical information
- tag set
- tagging model
- tags
- technique
- term
- test data
- text
- training
- training and test data
- training data
- transformation
- tree
- treebank
- trees
- trigram
- trigram model
- unigram
- weight vector
- word
- words
