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        <title>The Role of Syntax During Pronoun Resolution: Evidence from fMRI</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T The Role of Syntax During Pronoun Resolution: Evidence from fMRI
%A Li, Jixing
%A Fabre, Murielle
%A Luh, Wen-Ming
%A Hale, John
%Y Idiart, Marco
%Y Lenci, Alessandro
%Y Poibeau, Thierry
%Y Villavicencio, Aline
%S Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne
%F li-etal-2018-role
%X 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.
%R 10.18653/v1/W18-2808
%U https://aclanthology.org/W18-2808
%U https://doi.org/10.18653/v1/W18-2808
%P 56-64

Markdown (Informal)

[The Role of Syntax During Pronoun Resolution: Evidence from fMRI](https://aclanthology.org/W18-2808) (Li et al., CogACLL 2018)

• The Role of Syntax During Pronoun Resolution: Evidence from fMRI (Li et al., CogACLL 2018)

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.