Gillmore Centre Webinar Symposium on Natural Language Processing

Gillmore Centre Symposium on Natural Language Processing Research to Drive FinTech: Now and Next

Hosted by Dr Dan Philps Gillmore Centre Honorary Research Fellow

Speaker: Prof. Yulan He, King’s College London, UK

Natural Language Processing (NLP) technologies have become increasingly popular to be used to gain insights into unstructured textual data in the finance domain. In this talk, I will present recent developments in NLP for (1) automatic construction of hierarchical topic taxonomy from a large-scale text corpus; (2) named entity recognition and financial event extraction from text; (3) sentiment analysis including sentiment classification, aspect-based sentiment analysis and contrastive opinion extraction; and (4) end-to-end NLP approaches for trading signals prediction. I will conclude my talk with an outlook on potential NLP technologies that will shape the future of FinTech.

With

Yulan He is a Professor at the Department of Informatics at King’s College London. She is currently holding a prestigious UKRI Turing AI Fellowship (2021-2025). Yulan’s research interests lie in the integration of machine learning and natural language processing for text analytics. She has published over 200 papers on topics including natural language understanding, sentiment analysis, topic and event extraction, question-answering, fake news detection, biomedical text mining, and social media analytics. She has received several prizes and awards, including a SWSA Ten-Year Award, a CIKM 2020 Test-of-Time Award, and AI 2020 Most Influential Scholar Honourable Mention by AMiner. She has served as the General Chair for AACL-IJCNLP 2022, a Program Co-Chair for EMNLP 2020, and as an Action Editor for Transactions of the ACL and an Associate Editor for the Royal Society Open Science journal. Yulan obtained her PhD degree in Spoken Language Understanding from the University of Cambridge.