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Chenghua Lin is a Professor at the University of Manchester, specializing in Natural Language Processing and Text Mining. He has a strong academic background, previously holding a position as a Senior Lecturer at both the University of Sheffield and the University of Aberdeen. In his research, he focuses on developing probabilistic generative deep learning models for various applications including data-to-text generation, dialogue systems, text summarization, metaphor processing, and representation learning. He is actively involved in various research projects and has contributed extensively to the field of Computational Linguistics. As a respected member of several professional bodies, he serves in leadership roles including Secretary of the ACL SIGGEN Committee and Associate Editor for the journals Computer Speech and Language and Neurocomputing. Lin also engages with the academic community as an action editor for the ACL Rolling Review and has been a standing reviewer for Computational Linguistics and TACL. His work aims to bridge the gap between humans and machines through innovative research in natural language understanding and generation.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.