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Register a new userContrastive Response Pairs for Automatic Evaluation of Non-task-oriented Neural Conversational Models
أزواج الاستجابة للتناقض للتقييم التلقائي لنماذج المحادثة العصبية الموجهة إلى المهام
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من الصعب تقييم الردود الناتجة عن نماذج المحادثة العصبية (NCMS) لأنظمة غير موجهة نحو المهام.نقترح أزواج استجابة مركبة (CRPs) لتقييم الردود تلقائيا من NCMS غير المهام.أجرينا تحليل خطأ على الردود التي تم إنشاؤها بواسطة الشبكة العصبية النموذجية النموذجية المتكررة للمفوضات (RNN) وإنشاء ثلاثة أنواع من CRPs المقابلة للأخطاء الثلاثة الأكثر شيوعا الموجودة في التحليل.تم تقييم ثلاثة NCMM من جودة الاستجابة المختلفة بموضوعية مع CRPS ومقارنة بتقييم شخصي.كانت صحة تم الحصول عليها بواسطة الأنواع الثلاثة من CRPs تتفق مع نتائج التقييم الذاتي.
Responses generated by neural conversational models (NCMs) for non-task-oriented systems are difficult to evaluate. We propose contrastive response pairs (CRPs) for automatically evaluating responses from non-task-oriented NCMs. We conducted an error analysis on responses generated by an encoder-decoder recurrent neural network (RNN) type NCM and created three types of CRPs corresponding to the three most frequent errors found in the analysis. Three NCMs of different response quality were objectively evaluated with the CRPs and compared to a subjective assessment. The correctness obtained by the three types of CRPs were consistent with the results of the subjective assessment.
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