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Problems and Countermeasures in Natural Language Processing Evaluation

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arxiv 2104.09712 v1 pith:C2OK3ZCW submitted 2021-04-20 cs.CL

classification cs.CL
keywords evaluationlanguagenaturalabilityproblemsprocessingarticleconcept
verification ladder T0 review T1 audit T2 compute T3 formal
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Evaluation in natural language processing guides and promotes research on models and methods. In recent years, new evalua-tion data sets and evaluation tasks have been continuously proposed. At the same time, a series of problems exposed by ex-isting evaluation have also restricted the progress of natural language processing technology. Starting from the concept, com-position, development and meaning of natural language evaluation, this article classifies and summarizes the tasks and char-acteristics of mainstream natural language evaluation, and then summarizes the problems and causes of natural language pro-cessing evaluation. Finally, this article refers to the human language ability evaluation standard, puts forward the concept of human-like machine language ability evaluation, and proposes a series of basic principles and implementation ideas for hu-man-like machine language ability evaluation from the three aspects of reliability, difficulty and validity.

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