ACL RD-TEC 1.0 Summarization of C00-2101
Paper Title:
LEARNING SEMANTIC-LEVEL INFORMATION EXTRACTION RULES BY TYPE-ORIENTED ILP
LEARNING SEMANTIC-LEVEL INFORMATION EXTRACTION RULES BY TYPE-ORIENTED ILP
Authors: Yutaka Sasaki and Yoshihiro Matsuo
Primarily assigned technology terms:
- algorithm
- analyzer
- category selection
- computing
- cross validation
- ie system
- illustration
- inductive learning
- information extraction
- japanese-to-english machine translation
- language analysis
- language processing
- learner
- learning
- learning process
- logic programming
- machine translation
- machine translation system
- natural language analysis
- natural language processing
- nlp
- processing
- processing tools
- prolog
- reporting
- search
- syntactic analyzer
- tile
- translation system
- translator
- validation
Other assigned terms:
- adverb
- approach
- background knowledge
- beam
- case
- case frame
- concept
- data structure
- dictionaries
- dictionary
- document
- experimental results
- feature
- frame
- heuristic
- hypotheses
- hypothesis
- inductive logic
- information extraction task
- knowledge
- lexicon
- logic
- logical form
- muc-3
- names
- natural language
- natural language texts
- newspaper corpus
- noun phrase
- noun phrases
- parse
- parse tree
- particles
- phrase
- positive and negative examples
- precision
- predicates
- process
- relation
- representations
- semantic
- semantic category
- semantic representation
- semantic representations
- sentence
- sentences
- slot
- style
- symbols
- template slot
- term
- terms
- text
- text corpus
- thesaurus
- training
- training data
- tree
- tree structure
- trees
- type hierarchy
- valency
- verb
- word
- words