Skip to main content
SpringerLink
Log in

Binary and Multi-class Classification of Lexical Functions in Spanish Verb-Noun Collocations

  • Conference paper
  • First Online:
Advances in Computational Intelligence (MICAI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10633))

Included in the following conference series:

  • 459 Accesses

Abstract

Collocations as semi-fixed lexical combinations present a challenge in natural language processing. While collocation identification on the shallow level is a task in which a significant advance has been reached, a deeper semantic representation and analysis of collocations remains an open issue. One of the possible solutions is detection of lexical functions of the Meaning-Text Theory in collocations thus resolving their semantic interpretation. We experimented with four lexical functions (Oper1, Real1, CausFunc0, and CausFunc1) for the special case of Spanish verb-noun collocations. In our experiments we also identified free verb-noun combinations as opposed to lexical functions. We used WordNet hypernyms as features and various algorithms of supervised machine learning; the best result with an F-measure of 0.873 was achieved for detecting Oper1 in binary classification.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Notes

  1. 1.

    https://www.thoughtco.com/collocation-examples-1210325.

  2. 2.

    http://www.lsi.upc.edu/~nlp/web/index.php?Itemid=57&id=31&option=com_content&task=view.

  3. 3.

    http://www.cs.waikato.ac.nz/ml/weka/downloading.html.

  4. 4.

    http://www.cs.waikato.ac.nz/ml/weka/downloading.html/.

References

  1. Chen, W.T., Bonial, C., Palmer, M.: English light verb construction identification using lexical knowledge. In: AAAI, pp. 2368–2374 (2015)

    Google Scholar 

  2. Foufi, V., Nerima, L., Wehrli, E.: Parsing and MWE detection: fips at the PARSEME shared task. In: Proceedings of MWE (2017)

    Google Scholar 

  3. Gelbukh, A., Kolesnikova, O.: Supervised learning for semantic classification of Spanish collocations. In: Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Kittler, J. (eds.) MCPR 2010. LNCS, vol. 6256, pp. 362–371. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15992-3_38. The lexical resource (lexical functions data) can be downloaded at http://148.204.58.221/okolesnikova/index.php?id=lex/ or http://www.gelbukh.com/lexical-functions/

    Chapter  Google Scholar 

  4. Mel’čuk, I.A.: Lexical functions: a tool for the description of lexical relations in a Lexicon. In: Wanner, L. (ed.) Lexical Functions in Lexicography and Natural Language Processing, pp. 37–102. Benjamins Academic Publishers, Amsterdam (1996)

    Google Scholar 

  5. Miller, G.A., Leacock, C., Tengi, R., Bunker, R.T.: A semantic concordance. In: Proceedings of the Workshop on Human Language Technology Association for Computational Linguistics, pp. 303–308 (1993)

    Google Scholar 

  6. Nagy, I., Vincze, V.: Identifying verbal collocations in Wikipedia articles. In: Habernal, I., Matoušek, V. (eds.) TSD 2011. LNCS (LNAI), vol. 6836, pp. 179–186. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23538-2_23

    Chapter  Google Scholar 

  7. Pradhan, S.S., Hovy, E., Marcus, M., Palmer, M., Ramshaw, L., Weischedel, R.: Ontonotes: a unified relational semantic representation. Int. J. Semant. Comput. 1(04), 405–419 (2007)

    Article  Google Scholar 

  8. Rassi, A., Baptista, J., Mamede, N., Vale, O.: Integrating support verb constructions into a parser. In: Proceedings of Symposium in Information and Human Language Technology, Natal, RN, Brazil, 4–7 September, pp. 57–61 (2015)

    Google Scholar 

  9. Tutin, A.: Annotating lexical functions in corpora: showing collocations in context. In: Proceedings of the Second International Conference on the Meaning-Text Model (in Russian). Litres (2017)

    Google Scholar 

  10. Vincze, V., Zsibrita, J., Nagy, I.: Dependency parsing for identifying Hungarian light verb constructions. In: Proceedings of IJCNLP, pp. 207–215 (2013)

    Google Scholar 

  11. Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Publishers, MA, USA (2011)

    Google Scholar 

Download references

Acknowledgements

The work was done under partial support of Mexican Government: SNI, BEIFI-IPN, and SIP-IPN grants 20172044 and 20172008.

Author information

Authors and Affiliations

  1. Escuela Superior de Cómputo, Instituto Politécnico Nacional, 07738, Mexico City, Mexico

    Olga Kolesnikova

  2. Centro de Investigación en Computación, Instituto Politécnico Nacional, 07738, Mexico City, Mexico

    Alexander Gelbukh

Authors
  1. Olga Kolesnikova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alexander Gelbukh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Olga Kolesnikova .

Editor information

Editors and Affiliations

  1. Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico

    Félix Castro

  2. INFOTEC Aguascalientes, Aguascalientes, Mexico

    Sabino Miranda-Jiménez

  3. Tecnológico de Monterrey, Atizapán de Zaragoza, Mexico

    Miguel González-Mendoza

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kolesnikova, O., Gelbukh, A. (2018). Binary and Multi-class Classification of Lexical Functions in Spanish Verb-Noun Collocations. In: Castro, F., Miranda-Jiménez, S., González-Mendoza, M. (eds) Advances in Computational Intelligence. MICAI 2017. Lecture Notes in Computer Science(), vol 10633. Springer, Cham. https://doi.org/10.1007/978-3-030-02840-4_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02840-4_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02839-8

  • Online ISBN: 978-3-030-02840-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation