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15min chapter
[34] Sasha Rush - Lagrangian Relaxation for Natural Language Decoding
The Thesis Review
Navigating Language Algorithms
This chapter examines the challenges of choosing discrete versus continuous algorithms in natural language processing and their implications for students. The speaker shares their academic journey from computer science to NLP, underscoring the intersections of linguistics, cognitive science, and machine learning. Additionally, the discussion highlights various facets of modeling and decoding in language tasks, emphasizing the importance of structured representations and model evaluation.
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