no code implementations • 24 Feb 2023 • Manal Binkhonain, Liping Zhao
Conclusion: This paper makes an important practical contribution to addressing the class imbalance and HDLSS problems in multiclass classification of software requirements.
1 code implementation • 9 Feb 2023 • Waad Alhoshan, Alessio Ferrari, Liping Zhao
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.
no code implementations • 8 Apr 2022 • Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo
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.
no code implementations • WS 2019 • Waad Alhoshan, Riza Batista-Navarro, Liping Zhao
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.