Shiva Taslimi is a Postdoctoral Research Associate based in the UK with eight years of experience applying machine learning to natural language processing and language modelling. He has progressed from PhD research in Computational Linguistics to postdoctoral roles at the University of Wolverhampton and the University of Cambridge, combining deep academic rigor with hands-on experimentation. His work bridges statistical and neural approaches to language understanding, and he maintains an academic web portfolio illustrating his projects and publications. Known for methodical problem solving, he brings expertise in designing reproducible experiments and translating theoretical insights into practical models.
The MWE identification system, MTLB-STRUCT, participated in the PARSEME 1.2 Shared Task on semi-supervised identification of verbal multiword expressions.
Contributions:21 commits, 1 PR, 21 pushes in 1 year 8 months
nlpsupervisedmwesemimultiword-expressions
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