ACL RD-TEC 1.0 Summarization of W05-1518
Paper Title:
IMPROVING PARSING ACCURACY BY COMBINING DIVERSE DEPENDENCY PARSERS
IMPROVING PARSING ACCURACY BY COMBINING DIVERSE DEPENDENCY PARSERS
Authors: Daniel Zeman and Zdenek Zabokrtský
Primarily assigned technology terms:
- algorithm
- bagging
- blocking
- classifier
- classifier stacking
- classifiers
- computational linguistics
- decision tree
- decision trees
- decision-tree
- dependency parsing
- error reduction
- hybridization
- learning
- machine-learning
- majority voting
- maximum-entropy
- naive bayes
- parser
- parser combination
- parser switching
- parsers
- parsing
- parsing technologies
- rate reduction
- search
- terminology
- voting
- voting scheme
Other assigned terms:
- analogy
- approach
- association for computational linguistics
- case
- context features
- context-free grammar
- data set
- data sets
- dependency structure
- dependency structures
- dependency treebank
- error rate
- f-measure
- fact
- grammar
- hypothesis
- lemma
- linguistics
- method
- nouns
- opinion
- opinions
- oracle
- parse
- parsing accuracy
- penn treebank
- prague dependency treebank
- precision
- prepositions
- procedure
- process
- punctuation
- punctuation marks
- queries
- sentence
- sentences
- tags
- technique
- technologies
- term
- test data
- test data set
- test set
- tokens
- training
- tree
- treebank
- trees
- word
