Abstract
Semantic dependency parse is the dependency graph of a sentence. This graph shows the grammatical dependencies between words in a sentence clearer than the dependency parse because it can present dependencies in which one word is possibly the dependant in two or more dependencies in a sentence. Therefore, it has been used to represent the meaning of a sentence. To represent the meaning of a sentence in Vietnamese, a method of parsing the sentence into semantic dependencies is proposed in this paper. This rule-based method transforms the result of Vietnamese dependency parser using semantic constraints defined in a lexicon ontology called Vietnamese lexicon ontology (VLO). The test result shows that the proposed method can capture more dependencies than the state-of-the-art Vietnamese dependency parser with the precision of 0.5328 and of 0.3113, respectively, and it can capture the indirect object dependency type which Vietnamese dependency parser cannot capture in our test.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Notes
References
Nivre J. Dependency grammar and dependency parsing. Technical Report MSI report 05133; 2005.
Oepen S, Kuhlmann M, Miyao Y, Zeman D, Cinkova S, Flickinger D, Hajic J, Uresova Z. SemEval 2015 Task 18: broad-coverage semantic dependency parsing. International workshop on semantic evaluation. ACL, Denver; 2015. p. 915–926.
Oepen S, Kuhlmann M, Miyao Y, Zeman D, Flickinger D, Hajic J, Ivanova A, Zhang Y. Semeval 2014 task 8: broad-coverage semantic dependency parsing. International workshop on semantic evaluation. ACL, Dublin; 2014. p. 63–72.
Schuster S, Manning CD. Enhanced english universal dependencies: an improved representation for natural language understanding tasks. International conference on language resources and evaluation; 2016. p. 2371–2378.
Nguyen DQ, Dras M, Johnson M. An empirical study for Vietnamese dependency parsing. Australasian language technology association workshop, Melbourne, Australia; 2016. p. 143–149.
Grünewald S, Friedrich A. RobertNLP at the IWPT 2020 shared task: surprisingly simple enhanced UD parsing for english. International conference on parsing technologies and the IWPT 2020 shared task on parsing into enhanced universal dependencies; 2020. p. 245–252.
Qi P, Dozat T, Zhang Y, Manning CD. Universal dependency parsing from scratch. The CoNLL 2018 shared task: multilingual parsing from raw text to universal dependencies. ACL, Brussels, Belgium; 2018. p. 160–170.
Do TT-T, Nguyen DT. Sentential semantic dependency parsing for Vietnamese. Future data and security engineering. Binh Dinh: Springer; 2020. p. 429–447.
Banarescu L, Bonial C, Cai S, Georgescu M, Griffit K, Hermjakob U, Knight K, Koehn P, Palmer M, Schneider N. Abstract meaning representation for sembanking. 7th linguistic annotation workshop and interoperability with discourse; 2013. p. 178–186.
Oepen S, Kuhlmann M, Miyao Y, Zeman D, Cinková S, Flickinger D, Hajic J, Ivanova A, Uresova Z. Towards comparability of linguistic graph banks for semantic parsing. Tenth international conference on language resources and evaluation; 2016. p. 3991–3995.
De Marneffe M-C, Manning CD. Stanford typed dependencies manual. Technical report, Stanford University; 2016.
Nivre J, de Marneffe M-C, Ginter F, Goldberg Y, Hajic J, Manning CD, McDonald R, Petrov S, Pyysalo S, Silveira N, Tsarfaty R, Zeman D. Universal dependencies v1: a multilingual treebank collection. Tenth international conference on language resources and evaluation. European Language Resources Association (ELRA); 2016. p. 1659–1666.
Hershcovich D, Abend O, Rappoport A. Multitask parsing across semantic representations. 56th annual meeting of the association for computational linguistics, vol. 1. Melbourne: ACL; 2018. p. 373–385.
Hershcovich D, Abend O, Rappoport A. A Transition-based directed acyclic graph parser for UCCA. 55th annual meeting of the association for computational linguistics, vol. 1. Vancouver: ACL; 2017. p. 1127–1138.
Abend O, Rappoport A. Universal conceptual cognitive annotation (UCCA). Annual meeting of the association for computational linguistics, vol. 1. Sofia: Association for Computational Linguistics; 2013. p. 228–238.
Dozat T, Manning CD. Deep biaffine attention for neural dependency parsing. International conference on learning representations; 2017.
Levine RD, Meurers WD. Head-driven phrase structure grammar: linguistic approach, formal foundations, and computational realization. Encyclopedia of language and linguistics, 2nd ed; 2006. p. 237–252.
Pollard C, Sag IA. Head-driven phrase structure grammar. Chicago: University of Chicago Press; 1994.
Nguyen DQ, Pham SB, Nguyen P-T, Le Nguyen M. From treebank conversion to automatic dependency parsing for Vietnamese. International conference on applications of natural language to data bases—information systems. Springer; 2014. p. 196–207.
Do TT-T. Building a Vietnamese lexicon ontology for syntactic parsing and document annotation. iiWAS. Vienna: ACM; 2013. p. 619–623.
Do TT-T, Nguyen DT. VLO V1. 1-A Vietnamese lexicon ontology for universal dependency parsing. International conference on advanced computing and applications. IEEE; 2020. p. 94–100.
Ruppert E, Jonas K, Martin R, Chris B. Rule-based dependency parse collapsing and propagation for German and English. German society for computational linguistics and language technology. University of Duisburg-Essen; 2015. p. 58–66.
Covington MA. A fundamental algorithm for dependency parsing. Proceedings of the 39th annual ACM southeast conference; 2001. p. 95–102.
Vu T, Nguyen DQ, Dras M, Johnson M. VnCoreNLP: a Vietnamese natural language processing toolkit. Conference of the North American chapter of the association for computational linguistics: demonstrations. New Orleans: Association for Computational Linguistics; 2018. p. 56–60.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the topical collection “Future Data and Security Engineering 2020” guest edited by Tran Khanh Dang.
Rights and permissions
About this article
Cite this article
Do, T.TT., Nguyen, D.T. Sentential Semantic Dependency Parsing for Vietnamese. SN COMPUT. SCI. 2, 323 (2021). https://doi.org/10.1007/s42979-021-00715-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s42979-021-00715-4