WordNet

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WORDNET: A Database of Lexical Relations

WordNet:The most well-developed and widely used lexical DB for English.Handcrafting from scratch, rather than mining information from existing dictionaries and…

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Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger. M. Ciaramita, Y. Altun. Empirical Methods in Natural Language Processing (EMNLP). 2006

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G. Attardi, S. Dei Rossi, G. Di Pietro, A. Lenci, S. Montemagni, M. Simi, A Resource and Tool for Super-sense Tagging of Italian Texts, Proceedings of 7th Language Resources and Evaluation Conference (LREC 2010), Malta, 17-23 May 2010.

Super-sense tagging (SST) is a Natural Language Processing task that consists of annotating each significant entity in a text, like nouns, verbs, adjectives and adverbs, within a general semantic taxonomy defined by the WordNet lexicographer classes (called super-senses) [1]. SST can be considered as a task half-way between Named-Entity Recognition (NER) and Word Sense Disambiguation (WSD): it is an extension of NER, since it uses a larger set of semantic categories, and it is an easier and more practical task with respect to WSD, that deals with very specific senses.

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Tommaso Petrolito and Francis Bond (2014): A Survey of WordNet Annotated Corpora. In Proceedings of the 7th Global WordNet Conference (GWC 2014)

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Virtuoso Faceted Browser

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YAGO is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities.

YAGO: SVG Browser, Text Browser, SPARQL endpoint, Download...

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Web Data Management, by Serge Abiteboul, Ioana Manolescu, Philippe Rigaux, Marie-Christine Rousset, Pierre Senellart; Published by Cambridge University Press 2011

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Simões, Barreiro, Santos, Sousa-Silva & Tagnin (eds.) Linguística, Informática e Tradução: Mundos que se Cruzam, Oslo Studies in Language 7(1), 2015. 397–424.

Not many years ago it was usual to comment on the lack of an open lexical-semantic knowledge base, following the lines of Princeton WordNet, but for Portuguese. Today, the landscape has changed significantly, and researchers that need access to this specific kind of resource have not one, but several alternatives to choose from. The present article describes the wordnet-like resources currently available for Portuguese. It provides some context on their origin, creation approach, size and license for utilization. Apart from being an obvious starting point for those looking for a computational resource with information on the meaning of  Portuguese words, this article describes the resources available, compares them and lists some plans for future work, sketching ideas for potential collaboration between the projects described.

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Review of 'Ontology and the Lexicon'

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Ontology and the Lexicon (2010)

Huang, Chu-Ren, Nicoletta Calzolari, Aldo Gangemi, Alessandro Lenci, Alessandro Oltramari & Laurent Prévot (eds.), Ontology and the Lexicon. A Natural Language Processing Perspective. Cambridge University Press, Cambridge, 2010, 360 pp. ISBN 978-0-521-88659-8.

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http://eurovoc.europa.eu/drupal/?q=es

According to the reuse policy implemented by the decision of the European Commission 2011/833/EU licences are no longer required to download the EuroVoc Thesaurus in SKOS/XML format. We are pleased to inform you that the files are available for download on the following websites...

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Natalya F. Noy and Deborah L. McGuinness. ``Ontology Development 101: A Guide to Creating Your First Ontology''. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, March 2001.

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Orav H., Vossen, P., Ch. Fellbaum (Eds.) (2014), Proceedings of the 7th Global WordNet Conference (GWC2014), ISBN 978–9949–32–492–7, 422 p., January 25-29, 2014, Tartu, Estonia.

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González Agirre & German Rigau (2013), "Construcción de una base de conocimiento léxico multilíngüe de amplia cobertura: Multilingual Central Repository", Linguamática, vol. 5, nº 1, pp. 13-28.