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date: 24 May 2022

Abstract and Keywords

Natural Language Processing (NLP) is a dynamic and rapidly developing field in which new trends, techniques, and applications are constantly emerging. This chapter focuses mainly on recent developments in NLP which could not be covered in other chapters of the Handbook. Topics such as crowdsourcing and processing of large datasets, which are no longer that recent but are widely used and not covered at length in any other chapter, are also presented. The chapter starts by describing how the availability of tools and resources has had a positive impact on the field. The proliferation of user-generated content has led to the emergence of research topics such as sarcasm and irony detection, automatic assessment of user-generated content, and stance detection. All of these topics are discussed in the chapter. The field of NLP is approaching maturity, a fact corroborated by the latest developments in the processing of texts for financial purposes and for helping users with disabilities, two topics that are also discussed here. The chapter presents examples of how researchers have successfully combined research in computer vision and natural language processing to enable the processing of multimodal information, as well as how the latest advances in deep learning have revitalized research on chatbots and conversational agents. The chapter concludes with a comprehensive list of further reading material and additional resources.

Keywords: NLP for user-generated content, fake news detection, crowdsourcing, processing of financial texts, NLP for disabled users, language and vision, chatbots, conversational agents, language resources

Constantin Orasan

Constantin Orasan is Professor of Language and Translation Technologies at the Centre of Translation Studies, University of Surrey, UK. Before starting this role, he was Reader in Computational Linguistics at the University of Wolverhampton, UK. His research interests are largely focused on facilitating information access and include translation technology, text simplification/accessibility, text summarisation, and NLP for social media. He has published over 100 peer reviewed articles in journals, books and prestigious international conferences. His personal website is https://dinel.org.uk.

Ruslan Mitkov

Prof Ruslan Mitkov’s extensively cited research covers 250 publications on various topics of Natural Language Processing (NLP). He is author of the monograph Anaphora Resolution (Longman), sole Editor of The Oxford Handbook of Computational Linguistics (Oxford University Press), Executive Editor of the Journal of Natural Language Engineering (Cambridge University Press), Editor-in-Chief of John Benjamins’ NLP book series, Programme Chair and keynote speaker of many international conferences. Dr Mitkov is Director of the Research Institute in Information and Language Processing (University of Wolverhampton). In recognition of his outstanding research/professional achievements, Prof Mitkov was awarded twice the title of Doctor Honoris Causa.

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