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» Exploiting Background Knowledge for Relation Extraction
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LREC
2010
183views Education» more  LREC 2010»
14 years 13 days ago
Extracting Lexico-conceptual Knowledge for Developing Persian WordNet
Semantic lexicons and lexical ontologies are some major resources in natural language processing. Developing such resources are time consuming tasks for which some automatic metho...
Mehrnoush Shamsfard, Hakimeh Fadaei, Elham Fekri
AAAI
2012
12 years 1 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
BMCBI
2008
173views more  BMCBI 2008»
13 years 11 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
CIKM
2009
Springer
14 years 5 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
MKWI
2008
117views Business» more  MKWI 2008»
14 years 13 days ago
Knowledge Acquisition from EPC Models for Extraction of Process Patterns in Engineering Domains
: This paper presents an approach for the automated extraction of process patterns from Event-driven Process Chain (EPC) models in engineering domains. The manually extraction of p...
Andreas Bögl, Maximilian Kobler, Michael Schr...