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» Identifying Relations for Open Information Extraction
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EMNLP
2011
12 years 4 months ago
Identifying Relations for Open Information Extraction
Open Information Extraction (IE) is the task of extracting assertions from massive corpora without requiring a pre-specified vocabulary. This paper shows that the output of state...
Anthony Fader, Stephen Soderland, Oren Etzioni
WWW
2010
ACM
14 years 17 hour ago
Relational duality: unsupervised extraction of semantic relations between entities on the web
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
BMCBI
2002
137views more  BMCBI 2002»
13 years 4 months ago
ORFer - retrieval of protein sequences and open reading frames from GenBank and storage into relational databases or text files
Background: Functional genomics involves the parallel experimentation with large sets of proteins. This requires management of large sets of open reading frames as a prerequisite ...
Konrad Büssow, Steve Hoffmann, Volker Sievert
ICDE
2010
IEEE
224views Database» more  ICDE 2010»
14 years 4 months ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...
ACL
2008
13 years 6 months ago
The Tradeoffs Between Open and Traditional Relation Extraction
Traditional Information Extraction (IE) takes a relation name and hand-tagged examples of that relation as input. Open IE is a relationindependent extraction paradigm that is tail...
Michele Banko, Oren Etzioni