The Role of Syntax During Pronoun Resolution: Evidence from fMRI

Jixing Li, Murielle Fabre, Wen-Ming Luh, John Hale


Abstract
The current study examined the role of syntactic structure during pronoun resolution. We correlated complexity measures derived by the syntax-sensitive Hobbs algorithm and a neural network model for pronoun resolution with brain activity of participants listening to an audiobook during fMRI recording. Compared to the neural network model, the Hobbs algorithm is associated with larger clusters of brain activation in a network including the left Broca’s area.
Anthology ID:
W18-2808
Volume:
Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing
Month:
July
Year:
2018
Address:
Melbourne
Venues:
ACL | CogACLL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
56–64
Language:
URL:
https://aclanthology.org/W18-2808
DOI:
10.18653/v1/W18-2808
Bibkey:
Cite (ACL):
Jixing Li, Murielle Fabre, Wen-Ming Luh, and John Hale. 2018. The Role of Syntax During Pronoun Resolution: Evidence from fMRI. In Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing, pages 56–64, Melbourne. Association for Computational Linguistics.
Cite (Informal):
The Role of Syntax During Pronoun Resolution: Evidence from fMRI (Li et al., 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-2808.pdf