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WWW
2011
ACM
13 years 2 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...
COLING
2008
13 years 9 months ago
Using Web-Search Results to Measure Word-Group Similarity
Semantic relatedness between words is important to many NLP tasks, and numerous measures exist which use a variety of resources. Thus far, such work is confined to measuring simil...
Ann Gledson, John Keane
WWW
2010
ACM
14 years 2 months ago
Relational duality: unsupervised extraction of semantic relations between entities on the web
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
IEEESCC
2005
IEEE
14 years 1 months ago
Discovering Semantic Relations between Web Services Using Their Pre and Post-Conditions
Discovering and assembling individual Web services into more complex yet new and more useful Web processes has received significant attention from academia recently. In this thesi...
Lin Lin, Ismailcem Budak Arpinar
CORR
2006
Springer
102views Education» more  CORR 2006»
13 years 7 months ago
Similarity of Objects and the Meaning of Words
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...
Rudi Cilibrasi, Paul M. B. Vitányi