What is it about?
Neuro-symbolic reasoning combines the power of symbolic logic with neural networks to improve the reasoning capabilities of machines. In this experiment, we demonstrate how combining symbolic logic reasoning with neural networks can lead to more sophisticated and reliable language models with greater reasoning abilities. With this approach, machines can produce more accurate answers rooted in logical reasoning.
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Why is it important?
Commonsense reasoning is a fundamental ability for machines to think and behave logically and reasonably and make sound decisions. Although artificial intelligence has made great strides in developing sophisticated language models to make machines more intelligent, it still lacks the capability for commonsense reasoning. Neuro-symbolic reasoning helps bridge this gap by teaching machines to learn more logically and symbolically, ultimately helping achieve artificial intelligence's goal.
Perspectives
Exploring the concept of artificial intelligence has been a rewarding journey, taking me to a new level of understanding. Working with colleagues, I have worked with for a long time has made this experience more stimulating and enjoyable.
Dr. Sanjay Singh
Manipal Institute of Technology, Manipal
Read the Original
This page is a summary of: Application of Neuro-Symbolic Reasoning in Natural Language Processing, November 2022, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/cict56698.2022.9997814.
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