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Register a new userThe Great Misalignment Problem in Human Evaluation of NLP Methods
مشكلة اختلال كبيرة في التقييم البشري لأساليب NLP
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نحن نبحث عن مشكلة الاختلال العظيمة في أبحاث معالجة اللغات الطبيعية، وهذا يعني ببساطة أن تعريف المشكلة لا يتماشى مع الطريقة المقترحة والتقييم البشري لا يتماشى مع التعريف ولا الطريقة.ندرس هذه المشكلة الاختلافة من خلال مسح 10 ورقات أخذ عينات عشوائيا منشورة في ACL 2020 التي ينتج عنها التقرير البشري.تظهر نتائجنا أن ورقة واحدة فقط كانت متوافقة تماما من حيث تعريف المشكلة والطريقة والتقييم.قدمت ورقتين فقط تقييم بشري يتماشى مع ما تم تصميمه في الطريقة.وتسليط الضوء على هذه النتائج أن مشكلة الاختلافة العظيمة هي رئيسة كبيرة وتؤثر على صحة وتطوير النتائج التي حصل عليها تقييم بشري.
We outline the Great Misalignment Problem in natural language processing research, this means simply that the problem definition is not in line with the method proposed and the human evaluation is not in line with the definition nor the method. We study this misalignment problem by surveying 10 randomly sampled papers published in ACL 2020 that report results with human evaluation. Our results show that only one paper was fully in line in terms of problem definition, method and evaluation. Only two papers presented a human evaluation that was in line with what was modeled in the method. These results highlight that the Great Misalignment Problem is a major one and it affects the validity and reproducibility of results obtained by a human evaluation.
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