Taylor's theorem: a new perspective for neural tensor networks
Neural tensor networks have been widely used in a large number of natural language processing tasks such as conversational sentiment analysis, named entity recognition and knowledge base completion. However, the mathematical explanation of neural tensor networks remains a challenging problem, due to...
Saved in:
Main Authors: | Li, Wei, Zhu, Luyao, Cambria, Erik |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/160695 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A highly-parallel and energy-efficient 3D multi-layer CMOS-RRAM accelerator for tensorized neural network
by: Huang, Hantao, et al.
Published: (2018) -
Stack operation of tensor networks
by: Zhang, Tianning, et al.
Published: (2022) -
Learning with similarity functions : a tensor-based framework
by: Ragusa, Edoardo, et al.
Published: (2021) -
Towards a polynomial algorithm for optimal contraction sequence of tensor networks from trees
by: Xu, Jianyu, et al.
Published: (2020) -
Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts
by: Li, Pengfei, et al.
Published: (2020)