ACL RD-TEC 1.0 Summarization of P98-2128
Paper Title:
LEARNING CONSTRAINT GRAMMAR-STYLE DISAMBIGUATION RULES USING INDUCTIVE LOGIC PROGRAMMING
LEARNING CONSTRAINT GRAMMAR-STYLE DISAMBIGUATION RULES USING INDUCTIVE LOGIC PROGRAMMING
Authors: Nikolaj Lindberg and Martin Eineborg
Primarily assigned technology terms:
- brill tagger
- cd-rom
- dependency analysis
- dependency parsing
- disambiguation
- induction
- inductive logic programming
- learner
- learning
- learning system
- logic programming
- machine learning
- machine-learning
- morphology
- parser
- parsing
- part of speech tagging
- pos tagging
- preprocessing
- processing
- progol
- prolog
- reading
- rule induction
- search
- speech tagging
- tagger
- taggers
- tagging
- tagging process
- two-level morphology
Other assigned terms:
- adverb
- ambiguity
- annotated corpus
- annotated training text
- approach
- background knowledge
- bigram
- brown corpus
- case
- constraint grammar
- context words
- determiner
- english text
- error rate
- fact
- feature
- foreign word
- formalism
- grammar
- grammatical information
- hand-crafted grammar
- hypotheses
- hypothesis
- inductive logic
- inflected forms
- knowledge
- lattice
- lexical rule
- lexical rules
- lexicon
- logic
- meaning
- morphological features
- noise
- part of speech
- part of speech tags
- particle
- positive and negative examples
- precision
- process
- punctuation
- punctuation marks
- rule format
- rule sets
- search space
- sentences
- speech tag
- statistics
- stockholm-umeps corpus
- swedish text
- syntactic grammar
- syntactic structure
- tag sequence
- tag set
- tagged corpus
- tagging scheme
- tags
- tagset
- target word
- term
- test corpus
- test data
- text
- tokens
- training
- training corpus
- training data
- training material
- training text
- user
- verb
- window size
- word
- word form
- words
