Shalom Lappin

Shalom Lappin is a Professor of Natural Language Processing at the School of Electronic Engineering and Computer Science, Queen Mary University of London. He holds a dual affiliation as Chief Scientific Advisor at the Centre for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg. His research focuses on computational linguistics, deep learning, and probabilistic models applied to syntax, semantics, and grammar induction.

He leads research in areas such as neural network architectures for compositional semantics, Bayesian inference semantics, and the application of machine learning to natural language understanding. His work bridges theoretical linguistics and computational models, emphasizing the cognitive plausibility of AI systems.

His contributions include foundational texts like Deep Learning and Linguistic Representation and Foundations of Intensional Semantics. He has collaborated extensively on projects exploring gradient acceptability judgments, context effects in language processing, and the evaluation of large language models.

Lappin's affiliations include roles in both academic and collaborative research centers, reflecting his commitment to advancing interdisciplinary research at the intersection of computer science, linguistics, and artificial intelligence.