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Crossing Boundaries or Building Walls? The Declining Interdisciplinarity of NLP
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Crossing Boundaries or Building Walls? The Declining Interdisciplinarity of NLP

Last Updated on April 22, 2024 by Editorial Team

Author(s): Salvatore Raieli

Originally published on Towards AI.

In a deluge of information, research is becoming more and more isolated, and this is a problem
Photo by George Rosema on Unsplash

Communication — the human connection — is the key to personal and career success. — Paul J. Meyer

The need for connection and community is primal, as fundamental as the need for air, water, and food. — Dean Ornish

The degree to which the ideas and artifacts of a field of study are useful to the world (for improving our understanding of the world or for practical applications) is a measure of its influence. source

Understanding what influences what and what the trends are has several advantages. In order to innovate, we need to understand what is working, what the issues are, and what should be improved. Also, a discovery in one field has an impact on other fields. For example, artificial intelligence has been particularly influenced by neuroscience. Many discoveries about how the human brain works have had an impact on how we design model architectures and have led to innovations.

Evolutive forces shape the brain, what if we apply the same forces to AI?

On the other hand, today, we publish more and more and it is difficult to understand how the various fields interact with each other. This makes meta-analyses increasingly complicated. In addition, some researchers today… Read the full blog for free on Medium.

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