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BabelNet

BabelNet is a multilingual lexicalized semantic network and ontology developed at the Linguistic Computing Laboratory in the Department of Computer… Expand
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Papers overview

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2017
2017
In this lecture we will discuss and introduce challenges of integrating openly available Web data and how to solve them. Firstly… Expand
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2016
2016
Out-of-vocabulary words (OOVs) are a ubiquitous and difficult problem in statistical machine translation (SMT). This paper… Expand
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2016
2016
In this paper we introduce the ttcs system, so named after Terms To Conceptual Spaces, that exploits a resource-driven approach… Expand
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2015
2015
Linked data technologies make it possible to publish and link structured data on the Web. Although RDF is not about text, many… Expand
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Highly Cited
2014
Highly Cited
2014
Recent years have witnessed a surge in the amount of semantic information published on the Web. Indeed, the Web of Data, a subset… Expand
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2014
2014
In this paper we tackle the problem of automatically annotating, with both word senses and named entities, the MASC 3.0 corpus, a… Expand
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2013
2013
In this paper we present BabelNet 1.1, a brand-new release of the largest "encyclopedic dictionary", obtained from the automatic… Expand
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Highly Cited
2012
Highly Cited
2012
We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Key… Expand
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2012
2012
BabelNet is a very large, wide-coverage multilingual ontology. This resource is created by linking the largest multilingual Web… Expand
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Highly Cited
2010
Highly Cited
2010
In this paper we present BabelNet -- a very large, wide-coverage multilingual semantic network. The resource is automatically… Expand
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