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» Learning Entity and Relation Embeddings for Knowledge Graph ...
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KR
2004
Springer
13 years 10 months ago
Improving the Forward Chaining Algorithm for Conceptual Graphs Rules
Simple Conceptual Graphs (SGs) are used to represent entities and relations between these entities: they can be translated into positive, conjunctive, existential first-order log...
Jean-François Baget
EMNLP
2008
13 years 6 months ago
Learning Graph Walk Based Similarity Measures for Parsed Text
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
Einat Minkov, William W. Cohen
PVLDB
2010
161views more  PVLDB 2010»
13 years 3 months ago
Annotating and Searching Web Tables Using Entities, Types and Relationships
Tables are a universal idiom to present relational data. Billions of tables on Web pages express entity references, attributes and relationships. This representation of relational...
Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti
BMCBI
2008
173views more  BMCBI 2008»
13 years 4 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
WWW
2008
ACM
14 years 5 months ago
Learning multiple graphs for document recommendations
The Web offers rich relational data with different semantics. In this paper, we address the problem of document recommendation in a digital library, where the documents in questio...
Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Bel...