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Entity Linking meets Word Sense Disambiguation: A Unified Approach
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In: http://wwwusers.di.uniroma1.it/~navigli/pubs/TACL_2014_Babelfy.pdf (2014)
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A robust approach to aligning heterogeneous lexical resources.
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In: http://acl2014.org/acl2014/P14-1/pdf/P14-1044.pdf (2014)
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Multilingual word sense disambiguation and entity linking for everybody
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In: http://ceur-ws.org/Vol-1272/paper_30.pdf (2014)
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Spred: Large-scale harvesting of semantic predicates
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In: http://wing.comp.nus.edu.sg/~antho/P/P13/P13-1120v2.pdf (2013)
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Clustering and diversifying Web search results with graph-based Word Sense Induction
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In: http://wwwusers.di.uniroma1.it/~navigli/pubs/CL_2013_DiMarco_Navigli.pdf (2013)
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Clustering and diversifying Web search results with graph-based Word Sense Induction
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In: http://wing.comp.nus.edu.sg/~antho/J/J13/J13-3008.pdf (2013)
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SPred: Large-scale Harvesting of Semantic Predicates
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In: http://aclweb.org/anthology/P/P13/P13-1120.pdf (2013)
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SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
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In: http://wwwusers.di.uniroma1.it/%7Enavigli/pubs/Semeval_2013_Navigli_etal.pdf (2013)
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GlossBoot: Bootstrapping multilingual domain glossaries from the Web
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In: http://aclweb.org/anthology/P/P13/P13-1052.pdf (2013)
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BabelNet goes to the (Multilingual) Semantic Web
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In: http://wwwusers.di.uniroma1.it/~navigli/pubs/MSW_2012_Navigli.pdf (2012)
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A Quick Tour of Word Sense Disambiguation, Induction and Related Approaches
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In: http://www.dsi.uniroma1.it/%7Enavigli/pubs/SOFSEM_2012_Navigli.pdf (2012)
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Abstract:
Abstract. Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two fundamental tasks in Natural Language Processing (NLP), i.e., those of, respectively, automatically assigning meaning to words in context from a predefined sense inventory and discovering senses from text for a given input word. The two tasks have generally been hard to perform with high accuracy. However, today innovations in approach to WSD and WSI are promising to open up many interesting new horizons in NLP and Information Retrieval applications. This paper is a quick tour on how to start doing research in this exciting field and suggests the hottest topics to focus on. Keywords: computational lexical semantics, Word Sense Disambiguation, Word Sense Induction, text understanding.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.9121 http://www.dsi.uniroma1.it/%7Enavigli/pubs/SOFSEM_2012_Navigli.pdf
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BabelNetXplorer: a platform for multilingual lexical knowledge base access and exploration, in: Companion Volume to the
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In: http://www2012.wwwconference.org/proceedings/companion/p393.pdf (2012)
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BabelNetXplorer: A Platform for Multilingual Lexical Knowledge Base Access and Exploration ABSTRACT
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In: http://www.dsi.uniroma1.it/%7Enavigli/pubs/WWW2012_Navigli_Ponzetto.pdf (2012)
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An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
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In: http://wwwusers.di.uniroma1.it/~navigli/pubs/PAMI_2010_Navigli_Lapata.pdf (2010)
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BabelNet: Building a Very Large Multilingual Semantic Network
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In: http://lcl.uniroma1.it/babelnet/papers/navigli_ponzetto_acl_2010.pdf (2010)
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BabelNet: Building a very large multilingual semantic network
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In: http://www.dsi.uniroma1.it/%7Enavigli/pubs/ACL_2010_Navigli_Ponzetto.pdf (2010)
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An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
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In: http://www.dsi.uniroma1.it/~navigli/pubs/PAMI_2010_Navigli_Lapata.pdf (2010)
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Using Cycles and Quasi-Cycles to disambiguate dictionary glosses
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In: http://www.aclweb.org/anthology/E/E09/E09-1068.pdf (2009)
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