The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP
This paper proposes a new approach to scientific progress in Natural Language Processing (NLP). The author suggests developing scalable, data-driven theories of linguistic structure. These theories are based on the…
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