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» Large-scale extraction and use of knowledge from text
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CIKM
2008
Springer
14 years 11 months ago
Query suggestion using hitting time
Generating alternative queries, also known as query suggestion, has long been proved useful to help a user explore and express his information need. In many scenarios, such sugges...
Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church
LREC
2010
190views Education» more  LREC 2010»
14 years 11 months ago
Semi-Automatic Domain Ontology Creation from Text Resources
Analysts in various domains, especially intelligence and financial, have to constantly extract useful knowledge from large amounts of unstructured or semi-structured data. Keyword...
Mithun Balakrishna, Dan I. Moldovan, Marta Tatu, M...
65
Voted
EMNLP
2006
14 years 11 months ago
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
Hany Hassan, Ahmed Hassan, Ossama Emam
BMCBI
2008
185views more  BMCBI 2008»
14 years 9 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
LREC
2010
183views Education» more  LREC 2010»
14 years 11 months 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