ACL RD-TEC 1.0 Summarization of W06-0204
Paper Title:
IMPROVING SEMI-SUPERVISED ACQUISITION OF RELATION EXTRACTION PATTERNS
IMPROVING SEMI-SUPERVISED ACQUISITION OF RELATION EXTRACTION PATTERNS
Authors: Mark A. Greenwood and Mark Stevenson
Primarily assigned technology terms:
- algorithm
- binary relation extraction
- computational linguistics
- dependency analysis
- identification
- ie pattern acquisition
- information extraction
- iterative learning
- kernel
- kernels
- learning
- learning algorithm
- learning algorithms
- learning process
- linked chain model
- message understanding
- pattern acquisition
- pattern learning
- ranking
- relation extraction
- scoring
- semi-supervised algorithm
- semi-supervised learning
- shortest path
- supervised learning
- tree kernel
- vector space representation
Other assigned terms:
- approach
- association for computational linguistics
- binary relation
- confidence score
- confidence scores
- corpora
- cosine measure
- cosine similarity
- dependency tree
- dependency trees
- distribution
- document
- evaluation data
- extraction evaluation
- extraction patterns
- f-measure
- feature
- grammatical relation
- hypernym
- knowledge
- lexical items
- lexical similarity
- linguistics
- meanings
- measure
- measures
- message
- message understanding conference
- method
- modifier
- named entities
- named entity
- parse
- part of speech
- part of speech tags
- part-of-speech
- pattern similarity
- precision
- process
- ranking candidate
- relation
- seed
- semantic
- semantic class
- semantic similarity
- sentence
- sentences
- shallow parse
- similarity function
- similarity measure
- similarity measures
- similarity metric
- similarity model
- similarity score
- similarity scores
- structure of a sentence
- subtree
- tags
- terms
- text
- training
- training data
- tree
- tree structure
- trees
- understanding
- user
- vector space
- verb
- word
- wordnet
- words
