Biotechnology Machine Learning Techniques for Natural Language Processing

Anastasia-Maria Leventi-Peetz; Frederic Raber; Annika Rüll; Kai F. Weber

doi:10.1109/transai60598.2023.00029

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JOURNAL ARTICLE

Biotechnology Machine Learning Techniques for Natural Language Processing

Anastasia-Maria Leventi-Peetz Frederic Raber Annika Rüll Kai F. Weber

Year: 2023 Vol: 20 Pages: 118-119

DOI: 10.1109/transai60598.2023.00029

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Abstract

The possibility to transfer machine learning techniques from biotechnology to natural language processing models to increase training efficiency will be generally discussed. The motivation and reasoning behind the idea will be briefly outlined.

Keywords:

Computer science Artificial intelligence Natural language Natural (archaeology) Natural language processing Transfer of learning Biology

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Topics

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Genetics, Bioinformatics, and Biomedical Research

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Biomedical Text Mining and Ontologies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Biotechnology Machine Learning Techniques for Natural Language Processing

Abstract

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