ACL RD-TEC 1.0 Summarization of P06-1015
Paper Title:
ESPRESSO: LEVERAGING GENERIC PATTERNS FOR AUTOMATICALLY HARVESTING SEMANTIC RELATIONS
ESPRESSO: LEVERAGING GENERIC PATTERNS FOR AUTOMATICALLY HARVESTING SEMANTIC RELATIONS
Authors: Patrick Pantel and Marco Pennacchiotti
Primarily assigned technology terms:
- algorithm
- bootstrapping
- bootstrapping algorithm
- clustering
- computational linguistics
- cutoff
- edit-distance technique
- google search engine
- harvesting
- induction
- instance extraction
- knowitall
- learning
- learning algorithm
- learning algorithms
- linking
- machine learning
- machine learning algorithms
- measuring
- nlp
- part-of relation extraction
- pattern discovery
- pattern induction
- pattern learning
- question answering
- ranking
- relation extraction
- scoring
- scoring function
- search
- search engine
- supervised bootstrapping
- tagging
- term generalization
- tokenization
Other assigned terms:
- approach
- association for computational linguistics
- binary relation
- case
- cluster
- clusters
- corpora
- data sparseness
- empirical evaluation
- events
- experimental results
- f-score
- fact
- genre
- gold standard
- hyponym
- kappa
- kappa statistic
- knowledge
- large corpora
- large corpus
- linguistic
- linguistics
- meanings
- measure
- measures
- method
- mutual information
- nlp applications
- noise
- nouns
- ontologies
- part of speech
- pointwise mutual information
- precision
- process
- queries
- query
- random sample
- relation
- seed
- selectional constraints
- selectional restrictions
- semantic
- semantic relation
- semantic relations
- sentences
- statistic
- syntactic head
- system architecture
- system performance
- technique
- term
- terms
- text
- text collection
- textbook
- trec corpus
- wildcard
- wordnet
- words
