The relational processing limits of classic and contemporary neural network models of language processing

Author:

Puebla Guillermo12ORCID,Martin Andrea E.34ORCID,Doumas Leonidas A. A.1ORCID

Affiliation:

1. Department of Psychology, School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh, UK

2. Department of Psychology, Universidad de Tarapacá, Arica, Chile

3. Language and Computation in Neural Systems Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands

4. Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands

Publisher

Informa UK Limited

Subject

Cognitive Neuroscience,Linguistics and Language,Experimental and Cognitive Psychology,Language and Linguistics

Reference68 articles.

1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P. … Zheng, X. (2016). Tensorflow: A system for large-scale machine learning. In Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI’16) (pp. 265–284).

2. Bahdanau, D., Cho, K. & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. In Proceedings of ICLR Conference Track, San Diego, CA.

3. Bahdanau, D., Murty, S., Noukhovitch, M., Nguyen, T. H., de Vries, H. & Courville, A. (2018). Systematic generalization: What is required and can it be learned? arXiv preprint arXiv:1811.12889.

4. Battaglia, P. W., Hamrick, J. B., Bapst, V., Sanchez-Gonzalez, A., Zambaldi, V., Malinowski, M., Tacchetti, A., Raposo, D., Santoro, A., Faulkner, R., Gulcehre, C., Song, F., Ballard, A., Gilmer, J., Dahl, G., Vaswani, A., Allen, K., Nash, C., Langston, V. … Pascanu, R. (2018). Relational inductive biases, deep learning, and graph networks. arXiv preprint arXiv:1806.01261.

5. Besold, T. R., d’Avila, A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., Kühnberger, K., Lamb, L. C., Lowd, D., Machado, P., de Penning, L., Pinkas, G., Poon, H. & Zaverucha, G. (2017). Neural-symbolic learning and reasoning: A survey and interpretation. arXiv preprint arXiv:1711.03902.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Perceived similarity as a window into representations of integrated sentence meaning;Behavior Research Methods;2023-06-22

2. Facial Emotion Recognition Based on Deep Learning;2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2022-05-23

3. Hierarchy in language interpretation: evidence from behavioural experiments and computational modelling;Language, Cognition and Neuroscience;2021-09-28

4. Can Deep Convolutional Neural Networks Learn Same-Different Relations?;2021-04-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3