ACL RD-TEC 1.0 Summarization of P04-1082
Paper Title:
USING LINGUISTIC PRINCIPLES TO RECOVER EMPTY CATEGORIES
USING LINGUISTIC PRINCIPLES TO RECOVER EMPTY CATEGORIES
Primarily assigned technology terms:
- algorithm
- analyzer
- antecedent identification
- bracketing
- category detection and resolution
- combined learning
- empty category detection
- empty category recovery
- empty node resolution
- error analysis
- function tag assignment
- identification
- learning
- learning approach
- learning approaches
- machine-learning
- parser
- parsers
- parsing
- pattern-matching
- pcfg parser
- post-processing
- rule-based approach
- statistical parsers
- string position evaluation
- syntactic analyzer
- tag assignment
- term detection
- terminology
Other assigned terms:
- annotation
- annotator
- approach
- case
- content words
- detection task
- distribution
- empty categories
- empty category
- empty nodes
- evaluation method
- evaluation metric
- evaluations
- fact
- function words
- gb theory
- gold standard
- government-binding theory
- grammatical function
- grammatical relations
- hypothesis
- imperfect input
- input string
- knowledge
- labeling
- lexical information
- lexical items
- lexical knowledge
- lexicon
- linguistic
- linguists
- long-distance dependencies
- method
- parse
- parse tree
- parser output
- passive verb
- pcfg
- penn treebank
- precision
- predicate-argument
- predicate-argument structure
- ptb
- relative clauses
- runtime
- sbar
- semantic
- semantic information
- semantic role
- sentence
- sentences
- string-based evaluation
- subject position
- syntactic context
- syntactic theory
- tags
- term
- test corpus
- text
- thematic roles
- theory
- training
- training corpus
- tree
- treebank
- treebank annotation
- trees
- valency
- verb
- verb class
- words
