Christoph Aurnhammer, Stefan Frank. Comparing Gated and Simple Recurrent Neural Network Architectures as Models of Human Sentence Processing. In Ashok K. Goel 0001, Colleen M. Seifert, Christian Freksa, editors, Proceedings of the 41th Annual Meeting of the Cognitive Science Society, CogSci 2019: Creativity + Cognition + Computation, Montreal, Canada, July 24-27, 2019. pages 112-118, cognitivesciencesociety.org, 2019. [doi]
@inproceedings{AurnhammerF19,
title = {Comparing Gated and Simple Recurrent Neural Network Architectures as Models of Human Sentence Processing},
author = {Christoph Aurnhammer and Stefan Frank},
year = {2019},
url = {https://mindmodeling.org/cogsci2019/papers/0041/index.html},
researchr = {https://researchr.org/publication/AurnhammerF19},
cites = {0},
citedby = {0},
pages = {112-118},
booktitle = {Proceedings of the 41th Annual Meeting of the Cognitive Science Society, CogSci 2019: Creativity + Cognition + Computation, Montreal, Canada, July 24-27, 2019},
editor = {Ashok K. Goel 0001 and Colleen M. Seifert and Christian Freksa},
publisher = {cognitivesciencesociety.org},
isbn = {0-9911967-7-5},
}