Taylor’s theorem: A new perspective for neural tensor networks

Author:

Li WeiORCID,Zhu LuyaoORCID,Cambria Erik

Funder

Agency for Science, Technology and Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference55 articles.

1. Knowledge base completion by variational bayesian neural tensor decomposition;He;Cogn. Comput.,2018

2. Yalong Bai, Jianlong Fu, Tiejun Zhao, Tao Mei, Deep attention neural tensor network for visual question answering, in: Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 20–35.

3. Convolutional neural tensor network architecture for community-based question answering;Qiu,2015

4. SamuelR. Bowman, Can recursive neural tensor networks learn logical reasoning? in: 2nd International Conference on Learning Representations, ICLR 2014, Conference date: 14-04-2014 Through 16-04-2014, 2014.

5. Wenzhe Pei, Tao Ge, Baobao Chang, Max-margin tensor neural network for Chinese word segmentation, in: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014, pp. 293–303.

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