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» Unsupervised Ontology Induction from Text
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EKAW
2008
Springer
13 years 9 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
JMLR
2010
192views more  JMLR 2010»
13 years 2 months ago
Inducing Tree-Substitution Grammars
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
Trevor Cohn, Phil Blunsom, Sharon Goldwater
LREC
2010
196views Education» more  LREC 2010»
13 years 9 months ago
Ontology Based Law Discovery
The vast amount of information freely available on the Web constitutes a unparalleled resource for the automatic knoweledge discovery and learning. In this paper we propose a study...
Alessio Bosca, Luca Dini
ACL
2011
12 years 11 months ago
Which Noun Phrases Denote Which Concepts?
Resolving polysemy and synonymy is required for high-quality information extraction. We present ConceptResolver, a component for the Never-Ending Language Learner (NELL) (Carlson ...
Jayant Krishnamurthy, Tom Mitchell
ACL
2000
13 years 9 months ago
Minimally Supervised Morphological Analysis by Multimodal Alignment
This paper presents a corpus-based algorithm capable of inducing inflectional morphological analyses of both regular and highly irregular forms (such as broughtbring) from distrib...
David Yarowsky, Richard Wicentowski