Special Session: Fuzzy Natural Language Processing and Applications
2024 IEEE World Congress on Computational Intelligence
30th June – 5th July 2024
Yokohama, Japan
Organizers
Prof. Keeley Crockett (Manchester Metropolitan University, UK)
Prof. Joao Paulo Carvalho (INESC-ID/Instituto Superior Tecnico, Universidade de Lisboa)
Dr Naomi Adel (Manchester Metropolitan University, UK)
Aim
Although language, undoubtedly contains fuzziness in nature, the area of fuzzy inspired natural language processing is still relatively emerging research. The degree of fuzziness within human discourse needs to be captured, modelled, and used in context for a machine to understand the nature of the “conversation”. There are significant challenges associated with the automatic interpretation and understanding of language by machines especially as they lack contextual awareness. The session will provide a forum to disseminate and discuss recent and significant research efforts in fuzzy paradigms and novel “fuzzy” applications within fuzzy natural language processing.
Rationale
This special session is relevant to IEEE-FUZZ, as novel solutions are needed across the computational intelligence landscape to solve many of the challenges associated with NLP, for example, a deeper machine understanding of human subjectivity in language in given contexts. The session will provide a forum to disseminate and discuss recent and significant research efforts in fuzzy methods for natural language processing in addition to hybrid and emerging computational intelligence paradigms. It invites researchers from different related fields and gathers the most recent studies including but not limited to Fuzzy set models of human language; Fuzzy applications to human language processing; Fuzzy approaches to text mining and simulations of language use; Fuzzy ontologies for human language; Computing with words; The role of fuzzy theory in large language models. Real world computational intelligence inspired natural language processing applications; fuzzy methodologies, tools and techniques for mining and interpretation of social media textual data. Debates and discussions during past special sessions and beyond have led to research collaborations, which have generated IEEE papers, joint PhD supervisions and invited talks, which have started to bridge the gap between the computational intelligence and NLP communities.
Previous special sessions include: “Fuzzy Natural Language Processing” held at IEEE-FUZZ-2023 in Taiwan, IEEE-FUZZ-2021 in Luxemburg, IEEE-FUZZ-2019 in New Orleans, IEEE-FUZZ-2017 in Naples, IEEE-FUZZ-2015 in Istanbul, IEEE FUZZ-2013 in India and the hybrid special sessions “Computational Intelligence Approaches in Natural Language Processing” held at the 2014 IEEE WCCI Beijing, 2016 IEEE WCCI Vancouver, 2018 IEEE WCCI Rio, 2020 IEEE WCCI Glasgow and 2022 IEEE WCCI Italy.
Scope and Topics
The session will provide a forum to disseminate and discuss recent and significant research efforts in fuzzy methods for natural language processing in addition to hybrid and emerging computational intelligence paradigms. It also seeks to present novel applications of fuzzy technologies within the field of natural language processing
Topics including but not limited to:
- Fuzzy set models of human language
- Fuzzy applications to human language processing
- Fuzzy finger printing
- Large Language Models
- Fuzzy approaches to text mining
- Fuzzy simulations of language use
- Fuzzy ontologies for human language
- Computing with words within natural language processing
- Real world fuzzy inspired natural language processing applications
- Fuzzy founded methodologies, tools and techniques for mining and interpretation of social media textual data
Important Deadlines
- Paper submission: 29th January 2024
- Notification of acceptance: 15th March 2024
- Final paper submission: 1st May 2024
Paper Submission
Paper submission is through the conference website: Submission | IEEE WCCI 2024
Please read the author instructions carefully before submitting your paper.
Please ensure that you submit to the special session: Fuzzy Natural Language Processing and Applications
Organisers’ Biographic Information
Prof. Keeley Crockett (Manchester Metropolitan University, UK) Keeley Crockett is a Professor in Computational Intelligence in the Department of Computing and Maths at Manchester Metropolitan University, UK. She leads the machine intelligence and AI ethics themes, within the Centre for Advanced Computer Science. Research areas: Computational Intelligence driven Adaptive Psychological Profiling, Fuzzy natural language processing, decision-based systems and the Ethics of AI. She has obtained funding from H2020, ERDF, Innovate UK, The Turing, EPSRC. Keeley is Chair of the IEEE Technical Committee SHIELD (Ethical, Legal, Social, Environmental and Human Dimensions of AI/CI) and has several IEEE Trans Associate Editor roles.
Prof. Joao Paulo Carvalho (INESC-ID/Instituto Superior Tecnico, Universidade de Lisboa) has a PhD (2002), a MSc (1996) and an Electrical and Computer Engineer (1992) degree from Instituto Superior Técnico, University of Lisbon (Técnico Lisboa), where he is currently a Tenured Associate Professor at the Department of Electrical Engineering and Computers. He is in the Board of Directors of INESC-ID, where he is a researcher and has coordinated 5 funded research projects and participated in more than a dozen national and European funded projects. Main research interests include developing and applying new Computational Intelligence techniques to natural language processing, text mining, social network analysis, social sciences and earth sciences. He is Area Editor of Fuzzy Sets and Systems and Associate Editor of 2 international Journals. He was the General Chair of IPMU2020, Program Co-Chair and organizer of IFSA-EUSFLAT2009, Webchair of the 2010 IEEE World Congress on Computational Computation, FUZZ-IEEE2015 and FUZZ-IEEE2017 Publicity-chair, IPMU2016 program-chair, IEEE-WCCI2017 Publicity-chair, and is a PC member of more than 30 international conferences.
Dr Naomi Adel (Manchester Metropolitan University, UK) is a Lecturer in Artificial Intelligence and AI Ethics at Manchester Metropolitan University (MMU). Her PhD, awarded 2022, was entitled “Fuzzy Natural Language Similarity Measures Through Computing with Words” from MMU. She is an Early Careers Researcher (ECR) and an active member of IEEE CIS & IEEE WIE UKI. Her areas of research include fuzzy natural language processing, semantic similarity, fuzzy systems, machine learning, computational intelligence, conversational agents and the ethics of artificial intelligence. She is an active member of the Machine Intelligence and Data and Artificial Intelligence Ethics research themes in the Centre for Advanced Computational Science at MMU.
Organizers Contact Information
Prof. Keeley A Crockett SFHEA SMIEE
Professor in Computational Intelligence
Department of Computing and Mathematics
Manchester Metropolitan University
Chester Street, Manchester, M1 5GD, UK
E-mail: K.Crockett@mmu.ac.uk
Prof. Dr. Joao Paulo Carvalho
INESC-ID, Universidade de Lisboa, Instituto Superior Técnico
R. Alves Redol, 91000-029 Lisboa
E-mail: joao.carvalho@inesc-id.pt
Dr Naomi Adel
Department of Computing and Mathematics
Manchester Metropolitan University
Chester Street, Manchester, M1 5GD, UK
E-mail: N.Adel@mmu.ac.uk