Abstract
The family of clause types known as ‘support (or ‘light’) verb construction’ (SVC) manifests a peculiar syntax-semantics interface if compared with ordinary verb constructions (OVC). If, in e.g. She laughed, the verb licenses an argument and assigns it a semantic role, syntacticians of every stripe nowadays agree that it is the noun laugh, in She gave a laugh, which fulfils the same function. The differences between the two types have been extensively discussed in the linguistics literature (systematic research started in the 1970s), less so in Computational Linguistics. This paper has two objectives. First, it will propose an innovative type of semantic role, which is termed Cognate Semantic Role (CSR) because the verb employed in the notation is etymologically related to the predicate licensing arguments. She laughed and She gave a laugh therefore express the same role >the-one-who-laughs<, assigned by laughed and a laugh respectively. Second, it will introduce a tool capable of extracting CSRs automatically from both OVCs and SVCs; thus a device will be used for detecting the construction type. CSRs offer a number of advantages for the formalization of entailments and paraphrases and for Machine Translation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
We have deployed Cognate Semantic Roles in e.g. [3, 4]. Points of contact can be observed with the rolesets from PropBank. We are aware that rule-based systems are considered by many as being rather dated, and we know that the importance of statistical-based approaches cannot be underestimated. No references will be provided of the latter because in our opinion they hardly compare with the former.
- 2.
“Because mail order sales catalogs abound in examples of it” (C. G. Rosen, p.c., 2012).
References
Gross, M.: Les bases empiriques de la notion de prédicat sémantique. Langages 63, 7–52 (1981)
Harris, Z.S.: Transformations in linguistic structures. Proc. Am. Philos. Soc. 108(5), 418–422 (1964). In: Hiż, H. (ed.) Papers on Syntax. D. Reidel Publishing Company, London (1981)
Mirto, I.M.: Oggetti interni e reaction objects come nomi predicativi di costrutti a verbo supporto. Écho des Études Romanes 7(1), 22–47 (2011)
Mirto, I.M.: Dream a little dream of me. Cognate predicates in English. In: Camugli, C., Constant, M., Dister, A. (eds.) Actes du 26e Colloque International Lexique-Grammaire, Bonifacio, Corse, 2–6 October 2007, pp. 121–128 (2007). http://infolingu.univ-mlv.fr/Colloques/Bonifacio/proceedings/mirto.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Mirto, I.M. (2021). Natural Language Inference in Ordinary and Support Verb Constructions. In: Dong, Y., Herrera-Viedma, E., Matsui, K., Omatsu, S., González Briones, A., Rodríguez González, S. (eds) Distributed Computing and Artificial Intelligence, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1237. Springer, Cham. https://doi.org/10.1007/978-3-030-53036-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-53036-5_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-53035-8
Online ISBN: 978-3-030-53036-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)