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Found 4 papers, 1 papers with code
A Machine Learning Approach for Hierarchical Classification of Software Requirements
Conclusion: This paper makes an important practical contribution to addressing the class imbalance and HDLSS problems in multiclass classification of software requirements.
Zero-Shot Learning for Requirements Classification: An Exploratory Study
Objective: This paper addresses this problem by showing how a zero-shot learning approach can be used for requirements classification without using any labelled training data.
Classification of Natural Language Processing Techniques for Requirements Engineering
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.
Semantic Frame Embeddings for Detecting Relations between Software Requirements
One of the more recent advances in NLP is the use of word embeddings for capturing contextual information, which can then be applied in word analogy tasks.
