What is it about?
Natural Language Processing (NLP) is becoming increasingly important, but its progress also brings risks. To address these, NLP needs to engage with various fields of study. Our research examined how NLP interacts with 23 other fields by analyzing about 77,000 NLP papers and nearly 5 million citations. We found that NLP's engagement with other fields has significantly decreased since 1980. NLP is becoming more insular, mainly citing its own papers and having fewer connections to other fields. Most citations in NLP papers are to computer science, with very few to linguistics, mathematics, or psychology. These findings highlight the urgent need for NLP to broaden its engagement with diverse fields of study.
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This page is a summary of: We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields, January 2023, Association for Computational Linguistics (ACL),
DOI: 10.18653/v1/2023.emnlp-main.797.
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