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EMNLP
2006
13 years 10 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
FECS
2006
75views Education» more  FECS 2006»
13 years 10 months ago
On Summer Schools, Building Student Teams and Linking Undergraduate Education to Research
We report on summer student programmes and activities we have run, or contributed towards, for undergraduate students at Universities in the UK; in the USA; in Australia and in Ne...
Kenneth A. Hawick, Heath A. James, Christie James,...
KI
2006
Springer
13 years 8 months ago
Relation Instantiation for Ontology Population Using the Web
The Semantic Web requires automatic ontology population methods. We developed an approach, that given existing ontologies, extracts instances of ontology relations, a specific subt...
Viktor de Boer, Maarten van Someren, Bob J. Wielin...
ACL
2010
13 years 6 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
COLING
2010
13 years 3 months ago
Boosting Relation Extraction with Limited Closed-World Knowledge
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...