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Classification of Natural Language Processing Techniques for Requirements Engineering
[article]
2022
arXiv
pre-print
Research in applying natural language processing (NLP) techniques to requirements engineering (RE) tasks spans more than 40 years, from initial efforts carried out in the 1980s to more recent attempts with machine learning (ML) and deep learning (DL) techniques. However, in spite of the progress, our recent survey shows that there is still a lack of systematic understanding and organization of commonly used NLP techniques in RE. We believe one hurdle facing the industry is lack of shared
arXiv:2204.04282v1
fatcat:i2xxczzl7veuxohe25x3anujha