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» Subtree Mining for Relation Extraction from Wikipedia
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128
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WWW
2011
ACM
14 years 10 months ago
From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping
We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
154
Voted
JSAI
2005
Springer
15 years 9 months ago
Opinion Mining as Extraction of Attribute-Value Relations
This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple Subject, Attribute, Value , we propose...
Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Mat...
139
Voted
WSDM
2009
ACM
114views Data Mining» more  WSDM 2009»
15 years 10 months ago
Wikipedia pages as entry points for book search
A lot of the world’s knowledge is stored in books, which, as a result of recent mass-digitisation efforts, are increasingly available online. Search engines, such as Google Book...
Marijn Koolen, Gabriella Kazai, Nick Craswell
117
Voted
AIED
2007
Springer
15 years 10 months ago
Helping Courseware Authors to Build Ontologies: The Case of TM4L
The authors of topic map-based learning resources face major difficulties in constructing the underlying ontologies. In this paper we propose two approaches to address this problem...
Darina Dicheva, Christo Dichev
120
Voted
EMNLP
2009
15 years 1 months ago
Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy databas...
Ichiro Yamada, Kentaro Torisawa, Jun'ichi Kazama, ...