Please use this identifier to cite or link to this item:
PIRA download icon_1.1View/Download Full Text
Title: Not all arguments are processed equally : a distributional model of argument complexity
Authors: Chersoni, E 
Santus, E
Lenci, A
Blache, P
Huang, CR 
Issue Date: Dec-2021
Source: Language resources and evaluation, Dec. 2021, v. 55, no. 4, p. 873-900
Abstract: This work addresses some questions about language processing: what does it mean that natural language sentences are semantically complex? What semantic features can determine different degrees of difficulty for human comprehenders? Our goal is to introduce a framework for argument semantic complexity, in which the processing difficulty depends on the typicality of the arguments in the sentence, that is, their degree of compatibility with the selectional constraints of the predicate. We postulate that complexity depends on the difficulty of building a semantic representation of the event or the situation conveyed by a sentence. This representation can be either retrieved directly from the semantic memory or built dynamically by solving the constraints included in the stored representations. To support this postulation, we built a Distributional Semantic Model to compute a compositional cost function for the sentence unification process. Our evaluation on psycholinguistic datasets reveals that the model is able to account for semantic phenomena such as the context-sensitive update of argument expectations and the processing of logical metonymies.
Keywords: Argument complexity
Cognitive modeling
Distributional semantics
Logical metonymy
Publisher: Springer
Journal: Language resources and evaluation 
ISSN: 1574-020X
EISSN: 1574-0218
DOI: 10.1007/s10579-021-09533-9
Rights: © The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at:
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
a0670-n24.pdfPre-Published version964.21 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

Last Week
Last month
Citations as of Jun 4, 2023


Citations as of Jun 4, 2023


Citations as of Jun 2, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.