Squib: Effects of Cognitive Effort on the Resolution of Overspecified Descriptions

Ivandré Paraboni, Alex Gwo Jen Lan, Matheus Mendes de Sant’Ana, Flávio Luiz Coutinho


Abstract
Studies in referring expression generation (REG) have shown different effects of referential overspecification on the resolution of certain descriptions. To further investigate effects of this kind, this article reports two eye-tracking experiments that measure the time required to recognize target objects based on different kinds of information. Results suggest that referential overspecification may be either helpful or detrimental to identification depending on the kind of information that is actually overspecified, an insight that may be useful for the design of more informed hearer-oriented REG algorithms.
Anthology ID:
J17-2006
Volume:
Computational Linguistics, Volume 43, Issue 2 - June 2017
Month:
June
Year:
2017
Address:
Cambridge, MA
Venue:
CL
SIG:
Publisher:
MIT Press
Note:
Pages:
451–459
Language:
URL:
https://aclanthology.org/J17-2006
DOI:
10.1162/COLI_a_00288
Bibkey:
Cite (ACL):
Ivandré Paraboni, Alex Gwo Jen Lan, Matheus Mendes de Sant’Ana, and Flávio Luiz Coutinho. 2017. Squib: Effects of Cognitive Effort on the Resolution of Overspecified Descriptions. Computational Linguistics, 43(2):451–459.
Cite (Informal):
Squib: Effects of Cognitive Effort on the Resolution of Overspecified Descriptions (Paraboni et al., CL 2017)
Copy Citation:
PDF:
https://aclanthology.org/J17-2006.pdf