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» Learning for Semantic Parsing
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SEMCO
2008
IEEE
15 years 10 months ago
Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
113
Voted
LREC
2008
89views Education» more  LREC 2008»
15 years 5 months ago
Ontology Learning and Semantic Annotation: a Necessary Symbiosis
Semantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology....
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
137
Voted
IJCNLP
2005
Springer
15 years 9 months ago
Mining Inter-Entity Semantic Relations Using Improved Transductive Learning
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
Zhu Zhang
119
Voted
AI
2008
Springer
15 years 10 months ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme
124
Voted
OTM
2005
Springer
15 years 9 months ago
Taking Advantage of LOM Semantics for Supporting Lesson Authoring
Abstract. Learning Object Metadata (LOM) is an interoperable standard focused on enabling the reuse of learning material for authoring lessons. Nevertheless, few work was done on t...
Olivier Motelet, Nelson A. Baloian