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Advanced Topics in Natural Language Processing

blender.cs.illinois.edu · 878 words · saved by 2 readers

In this course we will teach advanced topics in natural language processing, ranging from general techniques such as foundation models for NLP to specific topics such as information extraction, question answering, misinformation detection, summarization, creative generation, and NLP for Science. Review of classic as well as state-of-the-art techniques and remaining challenges, and exploration of recent proposals for meeting these challenges. Intended for graduate students doing research in natural language processing. The instructor will write most of the slides and hand-outs, give survey about the best papers from The following books may provide some useful background:

Advanced Topics in Natural Language Processing Advanced Topics in Natural Language Processing Fall 2023 (Archived) [NOTICE] This website is for the course in a previous year. Enrolled students please search for the website for the current year. Time : Wednesday and Friday 3:30pm-4:45pm Place : Campus Instructional Facility (CIF) 2035, Over zoom for some project presentations and discussions Instructor: Prof. Heng Ji (Email: hengji@illinois.edu ) TA : Yi R. Fung (Email: yifung2@illinois.edu ); Revanth Reddy (Email: revanth3@illinois.edu ); and Vicki Qi Zeng (Email: qizeng2@illinois.edu ) Instru

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