BabelNet

Source: Wikipedia, the free encyclopedia.
BabelNet
Stable release
BabelNet 5.0 / February 2021
Operating system
Type
Attribution-NonCommercial-ShareAlike 3.0 Unported
Websitebabelnet.org

BabelNet is a

synsets. For each Babel synset, BabelNet provides short definitions (called glosses
) in many languages harvested from both WordNet and Wikipedia.

BabelNet is a multilingual semantic network obtained as an integration of WordNet and Wikipedia.

Statistics of BabelNet

As of April 2021, BabelNet (version 5.0) covers 500

SPARQL endpoint
. 2.67 million synsets are assigned domain labels.

Applications

BabelNet has been shown to enable multilingual

Natural Language Processing applications. The lexicalized knowledge
available in BabelNet has been shown to obtain state-of-the-art results in:

Prizes and acknowledgments

BabelNet received the META prize 2015 for "groundbreaking work in overcoming language barriers through a multilingual lexicalised semantic network and ontology making use of heterogeneous data sources".

BabelNet featured prominently in a Time magazine article[9] about the new age of innovative and up-to-date lexical knowledge resources available on the Web.

See also

References

  1. ^ a b R. Navigli and S. P Ponzetto. 2012. BabelNet: The Automatic Construction, Evaluation and Application of a Wide-Coverage Multilingual Semantic Network. Artificial Intelligence, 193, Elsevier, pp. 217-250.
  2. ^ R. Navigli, S. P. Ponzetto. BabelNet: Building a Very Large Multilingual Semantic Network. Proc. of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), Uppsala, Sweden, July 11–16, 2010, pp. 216–225.
  3. ^ M. Ehrmann, F. Cecconi, D. Vannella, J. McCrae, P. Cimiano, R. Navigli. Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0. Proc. of the 9th Language Resources and Evaluation Conference (LREC 2014), Reykjavik, Iceland, 26–31 May 2014.
  4. ^ R. Navigli and S. Ponzetto. 2012. BabelRelate! A Joint Multilingual Approach to Computing Semantic Relatedness Archived 2016-03-03 at the Wayback Machine. Proc. of the 26th AAAI Conference on Artificial Intelligence (AAAI 2012), Toronto, Canada, pp. 108-114.
  5. ^ J. Camacho-Collados, M. T. Pilehvar and R. Navigli. NASARI: a Novel Approach to a Semantically-Aware Representation of Items. Proc. of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2015), Denver, Colorado (US), 31 May-5 June 2015, pp. 567-577.
  6. ^ R. Navigli and S. Ponzetto. Joining Forces Pays Off: Multilingual Joint Word Sense Disambiguation. Proc. of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP 2012), Jeju, Korea, July 12–14, 2012, pp. 1399-1410.
  7. ^ A. Moro, A. Raganato, R. Navigli. Entity Linking meets Word Sense Disambiguation: a Unified Approach Archived 2014-08-08 at the Wayback Machine Transactions of the Association for Computational Linguistics (TACL), 2, pp. 231-244, 2014.
  8. ^ D. Jurgens, R. Navigli. "It's All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation" (PDF). Archived from the original on January 3, 2015. Retrieved 2015-01-03.{{cite web}}: CS1 maint: bot: original URL status unknown (link) Transactions of the Association for Computational Linguistics (TACL), 2, pp. 449-464, 2014.
  9. ^ Steinmetz, Katy (May 12, 2016). "Redefining the Modern Dictionary". Time. 187: 20-21.

External links

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