ACL RD-TEC 1.0 Summarization of A00-1039
Paper Title:
UNSUPERVISED DISCOVERY OF SCENARIO-LEVEL PATTERNS FOR INFORMATION EXTRACTION
UNSUPERVISED DISCOVERY OF SCENARIO-LEVEL PATTERNS FOR INFORMATION EXTRACTION
Authors: Roman Yangarber and Ralph Grishman and Pasi Tapanainen
Primarily assigned technology terms:
- algorithm
- automatic training
- candidate selection
- classifier
- co-occurrence analysis
- computing
- corpus analysis
- database
- dependency parser
- grouping
- ie system
- information extraction
- knowledge bases
- language technology
- matching
- message understanding
- multilingual language technology
- name recognition
- normalization
- parser
- parsing
- parsing system
- pattern discovery
- pattern matcher
- pattern matching
- preprocessing
- processing
- reasoning
- recognition
- relational database
- search
- syntactic analysis
- tagging
Other assigned terms:
- approach
- case
- class name
- co-occurrence
- concept
- concept dictionary
- conditional probability
- dictionaries
- dictionary
- distribution
- document
- document relevance
- evaluation metric
- evaluations
- events
- experimental results
- extraction patterns
- formalism
- free natural language text
- generation
- inferences
- knowledge
- knowledge base
- large corpus
- large training
- lexical item
- lexicon
- linguistic
- logical structure
- meaning
- measure
- measures
- message
- message understanding conference
- method
- methodology
- modifier
- muc corpus
- named entities
- natural language
- natural language text
- noise
- phrase
- portability
- precision
- precision measure
- predicate-argument
- predicate-argument structure
- probability
- procedure
- process
- recognition module
- regular expressions
- relative clauses
- seed
- semantic
- semantic class
- semantic classes
- semantic types
- sentence
- sentences
- slot
- statistics
- sub-language
- technique
- technology
- term
- terms
- test corpus
- text
- training
- training corpus
- training material
- translation pairs
- translations
- understanding
- user
- verb
- verb group
- words
