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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

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Word embeddings are widely used in Natural Language Processing, mainly due to their success in capturing semantic information… Expand
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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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Highly Cited
2016
Highly Cited
2016
The rapid popularization of smartphones has contributed to the growth of online Instant Messaging and SMS usage as an alternative… Expand
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Highly Cited
2015
Highly Cited
2015
The semantic representation of individual word senses and concepts is of fundamental importance to several applications in… 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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Highly Cited
2014
Highly Cited
2014
We present WiBi, an approach to the automatic creation of a bitaxonomy for Wikipedia, that is, an integrated taxonomy of Wikipage… Expand
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Highly Cited
2014
Highly Cited
2014
There is a large number of tools to match or align corresponding concepts between ontologies. Most tools are restricted to… Expand
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Review
2014
Review
2014
This tutorial gives an overview on state-of-the-art methods for the automatic construction of large knowledge bases and… Expand
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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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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