Skip to main content
SpringerLink
Log in
Book cover

ICCASA

ICCASA 2015: Context-Aware Systems and Applications pp 344–353Cite as

Referent Disambiguation for Anaphoric Human Pronouns in Contexts of Pairs of Vietnamese Sentences Using Affecting and Communicating Verbs

  • Conference paper
  • First Online:

  • 610 Accesses

Abstract

In Vietnamese paragraphs, there are two types of personal pronoun which are often used simultaneously in the sentences: type (i) – personal pronouns which stand alone; type (ii) – personal pronouns standing with demonstrative adjectives. This paper considers the contexts of pairs of simple Vietnamese sentences in which there are the simultaneous appearances of two personal pronouns belonging to these above types at the second sentence. The objectives of this research have the following characteristics: the first sentence has one transitive verb having the relationship with two different human objects; the second sentence has one transitive verb having the relationship with two different pronouns, in which the one belonging to type (ii) takes the subject role and the other belonging to type (i) takes the object role. To determine the object in the first sentence which is referred to by each pronoun at the second sentence, we propose a presupposition about the relationship contexts between two verbs. The proposed strategy is based on the idea: the transitive verbs are classified according to two properties which is “affect” and “communication”, then specify the pair of properties of two transitive verbs to determine the antecedent for each pronoun.

This is a preview of subscription content, 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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Joshi, A.K., Weinstein, S.: “Control of inference: role of some aspects of discourse structure centering”. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 1981), pp. 385–387 (1981)

    Google Scholar 

  2. Khan, A., Salim, N.: A Review on Abstractive Summarization Methods. J. Theor. Appl. Inf. Technol. 59(1), 64–72 (2014)

    Google Scholar 

  3. Grosz, B.J., Joshi, A.K., Weinstein, S.: Centering: a framework for modeling the local coherence of discourse. Comput. Linguist. 21(2), 203–225 (1995)

    Google Scholar 

  4. Saranyamol, C.S., Sindhu, L.: A survey on automatic text summarization. Int. J. Comput. Sci. Inf. Technol. 5(6), 7889–7893 (2014)

    Google Scholar 

  5. Das, D., Martins, A.F.T.: A survey on automatic text summarization. Language Technologies Institute, Carnegie Mellon University (2007)

    Google Scholar 

  6. Lloret, E.: “Text summarization: an overview”, paper supported by the Spanish Government under the project TEXT-MESS (TIN2006-15265-C06-01) (2008)

    Google Scholar 

  7. Cornish, F.: Inter-sentential anaphora and coherence relations in discourse: a perfect match. Lang. Sci. 31(5), 572–592 (2009)

    Article  MathSciNet  Google Scholar 

  8. Kamp, H.: A theory of truth and semantic representation. In: Jeroen, A.G.G., Janssen, T.M.V., Stokhof, M.B.J. (eds.) Formal Methods in the Study of Language, Part 1. Mathematical Centre Tracts, pp. 277–322 (1981)

    Google Scholar 

  9. Carbonell, J.G., Brown, R.D.: Anaphora resolution: a multi-strategy approach. In: Proceedings of the 12th International Conference on Computational Linguistics, pp. 96–101 (1988)

    Google Scholar 

  10. Jezek, K., Steinberger, J.: Automatic text summarization. In: Snasel, V. (Ed.): Znalosti 2008, ISBN 978-80-227-2827-0, FIIT STU Brarislava, Ustav Informatiky a softveroveho inzinierstva, pp. 1–12 (2008)

    Google Scholar 

  11. Jones, K.S.: “Automatic summarising: a review and discussion of the state of the art”, Technical report 679. University of Cambridge, Computer Laboratory (2007)

    Google Scholar 

  12. Covington, M.A.: “GULP 4: An Extension of Prolog for Unification Based Grammar”, Research Report number: AI-1994-06. Artificial Intelligence Center, The University of Georgia, USA (2007)

    Google Scholar 

  13. Covington, M.A., Schmitz, N.: “An Implementation of Discourse Representation Theory”, ACMC Research Report number: 01-0023. The University of Georgia, Advanced Computational Methods Center (1989)

    Google Scholar 

  14. Covington, M.A., Nute, D., Schmitz, N., Goodman, D.: “From English to Prolog via Discourse Representation Theory”, ACMC Research Report number: 01-0024. University of Georgia, Advanced Computational Methods Center (1988)

    Google Scholar 

  15. Johnson, M., Klein, E.: “Discourse, anaphora and parsing”, Report number: CSLI-86-63. Center for the Study of Language and Information, Stanford University, USA (1986)

    Google Scholar 

  16. Kasture, N.R., Yargal, N., Singh, N.N., Kulkarni, N., Mathur, V.: A survey on methods of abstractive text summarization. Int. J. Res. Merging Sci. Technol. 1(6), 53–57 (2014)

    Google Scholar 

  17. Blackburn, P., Bos, J.: Representation and inference for natural language – volume ii: working with discourse representation structures. Department of Computational Linguistics, University of Saarland (1999)

    Google Scholar 

  18. Shieber, S.M.: An Introduction to Unification-Based Approaches to Grammar. Microtome Publishing Brookline, Massachusetts (2003)

    MATH  Google Scholar 

  19. Liang, T., Wu, D.S.: Automatic pronominal anaphora resolution in english texts. Comput. Linguist. Chin. Lang. Process. 9(1), 21–40 (2004)

    MathSciNet  Google Scholar 

  20. Tran, T., Nguyen, D.T.: A solution for resolving inter-sentential anaphoric pronouns for vietnamese paragraphs composing two single sentences. In: Proceedings of the 5th International Conference of Soft Computing and Pattern Recognition (SoCPaR 2013), Hanoi, Vietnam, pp. 172–177 (2013)

    Google Scholar 

  21. Tran, T., Nguyen, D.T.: “Merging two vietnamese sentences related by inter-sentential anaphoric pronouns for summarizing. In: Proceedings of the 1st NAFOSTED Conference on Information and Computer Science, Hanoi, Vietnam, pp. 371–381 (2014)

    Google Scholar 

  22. Tran, T., Nguyen, D.T.: Semantic predicative analysis for resolving some cases of ambiguous referents of pronoun “Nó” in summarizing meaning of two vietnamese sentences. In: Proceedings of the UKSim-AMSS 17th International Conference on Computer Modelling and Simulation (UKSim 2015), pp. 340–345. Cambridge, United Kingdom (2015)

    Google Scholar 

  23. Tran, T., Nguyen, D. T.: Combined method of analyzing anaphoric pronouns and inter-sentential relationships between transitive verbs for enhancing pairs of sentences summarization. In: Silhavy, R., et al. (eds.) Proceedings of the 4th Computer Science On-line Conference (CSOC2015) – Vol 1: Artificial Intelligence Perspectives and Applications, Advances in Intelligent Systems and Computing – Vol. 347, Faculty of Applied Informatics, Tomas Bata University in Zlin, Czech Republic, pp. 67–77 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of Information Technology, Vietnam National University - Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Trung Tran & Dang Tuan Nguyen

Authors
  1. Trung Tran
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dang Tuan Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Trung Tran .

Editor information

Editors and Affiliations

  1. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Phan Cong Vinh

  2. Concordia University, Montréal, Québec, Canada

    Vangalur Alagar

Rights and permissions

Reprints and permissions

Copyright information

© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Tran, T., Nguyen, D.T. (2016). Referent Disambiguation for Anaphoric Human Pronouns in Contexts of Pairs of Vietnamese Sentences Using Affecting and Communicating Verbs. In: Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications. ICCASA 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29236-6_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-29236-6_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29235-9

  • Online ISBN: 978-3-319-29236-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation