Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Knowledge Graph Extension for Word Sense Annotation

  • Chapter
  • First Online:
Innovative Approaches and Solutions in Advanced Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 648))

  • 507 Accesses

Abstract

One of the most successful approaches to Word Sense Disambiguation (WSD) in the last decade has been the knowledge-based approach, which exploits lexical knowledge sources such as wordnets, ontologies, etc. The knowledge encoded in them is typically used as a sense inventory and as a relations bank. However, this type of information is rather sparse in terms of senses and the relations among them. In this paper we present a strategy for the enrichment of WSD knowledge bases with data-driven relations from a gold standard corpus (annotated with word senses, valency information, syntactic analyses, etc.). We focus on Bulgarian and English as use cases, but our approach is scalable to other languages as well. The results show that the addition of new knowledge improves accuracy on the WSD task in a statistically significant way.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://wordnet.princeton.edu/ .

  2. 2.

    http://wiki.dbpedia.org/ .

  3. 3.

    https://en.wiktionary.org/wiki/Wiktionary:Main_Page .

  4. 4.

    In this work we used version 3.0 of Princeton WordNet: https://wordnet.princeton.edu/.

  5. 5.

    Available at http://compling.hss.ntu.edu.sg/omw/ .

  6. 6.

    http://clu.uni.no/icame/manuals/BROWN/INDEX.HTM .

  7. 7.

    http://ixa.si.ehu.es/Ixa .

  8. 8.

    http://ixa2.si.ehu.es/ukb/ .

  9. 9.

    https://github.com/asoroa/naf_ukb .

  10. 10.

    http://www.newsreader-project.eu/files/2013/01/techreport.pdf .

  11. 11.

    Here we present the combination of synsets in each relation as POS. The POS are: A—adjective, N—noun, R—adverb, and V—verb. Also we present the number of arcs for the relations in WordNet.

  12. 12.

    http://universaldependencies.github.io/docs/ .

  13. 13.

    Here we interpret the concept of “event'' in a wider sense that also includes states.

References

  1. Agirre, E., Martinez, D.: Integrating selectional preferences in WordNet. In: Proceedings of First International WordNet Conference, Mysore, India. (2002)

    Google Scholar 

  2. Agirre, E., Soroa, A.: Personalizing PageRank for word sense disambiguation. In: Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009), pp. 33–41. Association for Computational Linguistics (2009)

    Google Scholar 

  3. Agirre, E., Lacalle, O.L., Soroa, A.: Random walks for knowledge-based word sense disambiguation. Comput. Linguist. 40(1), 57–84 (The Association for Computational Linguistics, MIT Press) (2014)

    Google Scholar 

  4. Brin, S., Page, L.: Reprint of: the anatomy of a large-scale hypertextual web search engine. Comput. Netw. 56(18), 3825–3833 (2012)

    Article  Google Scholar 

  5. Fellbaum, C. (ed.): WordNet an Electronic Lexical Database. The MIT Press, Cambridge (1998)

    Google Scholar 

  6. Mihalcea, R., Moldovan, D.: Extended Wordnet: progress report. In: Proceedings of NAACL Workshop on WordNet and Other Lexical Resources, pp. 95–100 (2001)

    Google Scholar 

  7. Miller, G.A., Leacock, C., Tengi, R., Bunker, R.T.: A semantic concordance. In: Proceedings of HLT ‘93, pp. 303–308 (1993)

    Google Scholar 

  8. Montoyo, A., Suárez, A., Rigau, G., Palomar, M.: Combining knowledge-and corpus-based word-sense-disambiguation methods. J. Artif. Intell. Res. (JAIR) 23, 299–330 (2005)

    MATH  Google Scholar 

  9. Navigli, R., Ponzetto, S.P.: BabelNet: the automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artif. Intell. 193, 217–250 (Elsevier) (2012)

    Google Scholar 

  10. Osenova, P., Simov, K., Laskova, L., Kancheva, S.: A treebank-driven creation of an ontovalence verb lexicon for Bulgarian. In: Proceedings of the Eight International Conference on Language Resources and Evaluation, pp. 2636–2640 (2012)

    Google Scholar 

  11. Popov, A., Kancheva, S., Manova, S., Radev, I., Simov, K., Osenova, P.: The sense annotation of BulTreeBank. In: Proceedings of the Thirteenth International Workshop on Treebanks and Linguistic Theories, pp. 127–136 (2014)

    Google Scholar 

Download references

Acknowledgments

This research has received partial support by the EC’s FP7 (FP7/2007–2013) project under grant agreement number 610516: “QTLeap: Quality Translation by Deep Language Engineering Approaches” and FP7 grant 316087 AComIn “Advanced Computing for Innovation”, funded by the European Commission in 20122016. The AComIN project kindly supported the scientific visits of Kiril Simov and Petya Osenova in Amsterdam, at Vrije Universiteit in 2014 and 2015. The authors would like to thank prof. Piek Vossen for hosting these visits as well as for the fruitful discussions in his group.

Author information

Authors and Affiliations

  1. Institute of Information and Communication Technologies, BAS, Akad. G. Bonchev. 25A, 1113, Sofia, Bulgaria

    Kiril Simov, Alexander Popov & Petya Osenova

Authors
  1. Kiril Simov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alexander Popov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Petya Osenova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kiril Simov .

Editor information

Editors and Affiliations

  1. Inst. of Info. & comm. Tech., Bulgarian Academy of Sciences, Sofia, Bulgaria

    Svetozar Margenov

  2. INst. of Info. & Comm. Tech., Bulgarian Academy of Sciences, Sofia, Bulgaria

    Galia Angelova

  3. Inst. of Info. & Comm. Tech., Bulgarian Academy of Sciences, Sofia, Bulgaria

    Gennady Agre

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Simov, K., Popov, A., Osenova, P. (2016). Knowledge Graph Extension for Word Sense Annotation. In: Margenov, S., Angelova, G., Agre, G. (eds) Innovative Approaches and Solutions in Advanced Intelligent Systems . Studies in Computational Intelligence, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-32207-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-32207-0_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32206-3

  • Online ISBN: 978-3-319-32207-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics