Alessio Ferrari is Research Scientist at Consiglio Nazionale delle Ricerche - Istituto di Scienza e Tecnologie dell'Informazione “A. Faedo” (CNR-ISTI), Italy. His main research interests are the application of NLP technologies to RE, with a focus on detection of ambiguity and communication defects in requirements documents and requirements elicitation interviews; and software process improvement for safety-critical systems, with a focus on formal/semi-formal model-based development and code generation. He is the co-author of more than 100 publications in international conferences and journals, and is one the founders of the NLP4RE workshop, has been PC Co-Chair of the REFSQ 2023 conference, and will be PC Co-Chair of the IEEE RE 2025 conference.Gouri Ginde (Deshpande) is an Assistant Professor at the Department of Electrical and Software Engineering. Gouri spent a decade in the IT industry working at Hewlett Packard Enterprises and Hewlett Packard Lab (Bangalore, India), where she held various roles, including Software Engineer and Senior Software Engineer, before embarking on her academic journey. At the University of Calgary, Gouri is the Scientific Director of the Software Hub for AnalytiKs, Technology and Innovation (SHAKTI) Laboratory.  The vision of her research lab is to solve software-centric problems. She specializes in software requirements engineering, software engineering for machine learning, and applied data science in healthcare. She has been PC co-chair of the NLP4RE'22 workshop and provided a tutorial on NLP at the IEEE RE'22 conference.

• 1. Handbook on Natural Language Processing for Requirements Engineering: Overview.- Part I: NLP for Downstream RE Tasks.- 2. Machine Learning for Requirements Classification.- 3. Requirements Similarity and Retrieval.- 4. Natural Language Processing for Requirements Traceability.- 5. Detecting Defects in Natural Language Requirements Specifications.- 6. Automated Requirements Terminology Extraction.- 7. Automated Requirements Relations Extraction.- Part II: NLP for Specialised Types of Requirements and Artefacts.- 8. Legal Requirements Analysis: A Regulatory Compliance Perspective.- 9. Privacy Requirements Acquisition and Analysis.- 10. On the Automated Processing of User Feedback.- 11. Mining Issue Trackers: Concepts and Techniques.- 12. Automated Analysis of User Story Requirements.- Part III: NLP for RE in Practice.- 13. NLP4RE Tools: Classification, Overview, and Management.- 14. Empirical Evaluation of Tools for Hairy Natural Language Requirements Engineering Tasks.- 15. Practical Guidelines for the Selection and Evaluation of Natural Language Processing Techniques in Requirements Engineering.- 16. Using Large Language Models for Natural Language Processing  Tasks in Requirements Engineering: A Systematic Guideline.- 17. Dealing with Data for RE: Mitigating Challenges while Using NLP and Generative AI.

Alessio Ferrari is Research Scientist at Consiglio Nazionale delle Ricerche - Istituto di Scienza e Tecnologie dell'Informazione “A. Faedo” (CNR-ISTI), Italy. His main research interests are the application of NLP technologies to RE, with a focus on detection of ambiguity and communication defects in requirements documents and requirements elicitation interviews; and software process improvement for safety-critical systems, with a focus on formal/semi-formal model-based development and code generation. He is the co-author of more than 100 publications in international conferences and journals, and is one the founders of the NLP4RE workshop, has been PC Co-Chair of the REFSQ 2023 conference, and will be PC Co-Chair of the IEEE RE 2025 conference.Gouri Ginde (Deshpande) is an Assistant Professor at the Department of Electrical and Software Engineering. Gouri spent a decade in the IT industry working at Hewlett Packard Enterprises and Hewlett Packard Lab (Bangalore, India), where she held various roles, including Software Engineer and Senior Software Engineer, before embarking on her academic journey. At the University of Calgary, Gouri is the Scientific Director of the Software Hub for AnalytiKs, Technology and Innovation (SHAKTI) Laboratory.  The vision of her research lab is to solve software-centric problems. She specializes in software requirements engineering, software engineering for machine learning, and applied data science in healthcare. She has been PC co-chair of the NLP4RE'22 workshop and provided a tutorial on NLP at the IEEE RE'22 conference.

• 1. Handbook on Natural Language Processing for Requirements Engineering: Overview.- Part I: NLP for Downstream RE Tasks.- 2. Machine Learning for Requirements Classification.- 3. Requirements Similarity and Retrieval.- 4. Natural Language Processing for Requirements Traceability.- 5. Detecting Defects in Natural Language Requirements Specifications.- 6. Automated Requirements Terminology Extraction.- 7. Automated Requirements Relations Extraction.- Part II: NLP for Specialised Types of Requirements and Artefacts.- 8. Legal Requirements Analysis: A Regulatory Compliance Perspective.- 9. Privacy Requirements Acquisition and Analysis.- 10. On the Automated Processing of User Feedback.- 11. Mining Issue Trackers: Concepts and Techniques.- 12. Automated Analysis of User Story Requirements.- Part III: NLP for RE in Practice.- 13. NLP4RE Tools: Classification, Overview, and Management.- 14. Empirical Evaluation of Tools for Hairy Natural Language Requirements Engineering Tasks.- 15. Practical Guidelines for the Selection and Evaluation of Natural Language Processing Techniques in Requirements Engineering.- 16. Using Large Language Models for Natural Language Processing  Tasks in Requirements Engineering: A Systematic Guideline.- 17. Dealing with Data for RE: Mitigating Challenges while Using NLP and Generative AI.

Alessio Ferrari is Research Scientist at Consiglio Nazionale delle Ricerche - Istituto di Scienza e Tecnologie dell'Informazione “A. Faedo” (CNR-ISTI), Italy. His main research interests are the application of NLP technologies to RE, with a focus on detection of ambiguity and communication defects in requirements documents and requirements elicitation interviews; and software process improvement for safety-critical systems, with a focus on formal/semi-formal model-based development and code generation. He is the co-author of more than 100 publications in international conferences and journals, and is one the founders of the NLP4RE workshop, has been PC Co-Chair of the REFSQ 2023 conference, and will be PC Co-Chair of the IEEE RE 2025 conference.Gouri Ginde (Deshpande) is an Assistant Professor at the Department of Electrical and Software Engineering. Gouri spent a decade in the IT industry working at Hewlett Packard Enterprises and Hewlett Packard Lab (Bangalore, India), where she held various roles, including Software Engineer and Senior Software Engineer, before embarking on her academic journey. At the University of Calgary, Gouri is the Scientific Director of the Software Hub for AnalytiKs, Technology and Innovation (SHAKTI) Laboratory.  The vision of her research lab is to solve software-centric problems. She specializes in software requirements engineering, software engineering for machine learning, and applied data science in healthcare. She has been PC co-chair of the NLP4RE'22 workshop and provided a tutorial on NLP at the IEEE RE'22 conference.

• 1. Handbook on Natural Language Processing for Requirements Engineering: Overview.- Part I: NLP for Downstream RE Tasks.- 2. Machine Learning for Requirements Classification.- 3. Requirements Similarity and Retrieval.- 4. Natural Language Processing for Requirements Traceability.- 5. Detecting Defects in Natural Language Requirements Specifications.- 6. Automated Requirements Terminology Extraction.- 7. Automated Requirements Relations Extraction.- Part II: NLP for Specialised Types of Requirements and Artefacts.- 8. Legal Requirements Analysis: A Regulatory Compliance Perspective.- 9. Privacy Requirements Acquisition and Analysis.- 10. On the Automated Processing of User Feedback.- 11. Mining Issue Trackers: Concepts and Techniques.- 12. Automated Analysis of User Story Requirements.- Part III: NLP for RE in Practice.- 13. NLP4RE Tools: Classification, Overview, and Management.- 14. Empirical Evaluation of Tools for Hairy Natural Language Requirements Engineering Tasks.- 15. Practical Guidelines for the Selection and Evaluation of Natural Language Processing Techniques in Requirements Engineering.- 16. Using Large Language Models for Natural Language Processing  Tasks in Requirements Engineering: A Systematic Guideline.- 17. Dealing with Data for RE: Mitigating Challenges while Using NLP and Generative AI.