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» Learning to Explain Entity Relationships in Knowledge Graphs
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ACL
2012
12 years 5 days ago
UWN: A Large Multilingual Lexical Knowledge Base
We present UWN, a large multilingual lexical knowledge base that describes the meanings and relationships of words in over 200 languages. This paper explains how link prediction, ...
Gerard de Melo, Gerhard Weikum
DIS
2005
Springer
14 years 3 months ago
Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain
In this paper, the semantic relationships between a predicate and its arguments in terms of semantic roles are employed to improve lexical-based named entity recognition (NER) in t...
Tuangthong Wattarujeekrit, Nigel Collier
CIKM
2010
Springer
13 years 8 months ago
Domain-independent entity coreference in RDF graphs
In this paper, we present a novel entity coreference algorithm for Semantic Web instances. The key issues include how to locate context information and how to utilize the context ...
Dezhao Song, Jeff Heflin
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
14 years 4 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
CIKM
2008
Springer
13 years 11 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao