التركيز HCI و NLP تقليديا على طرق التقييم المختلفة.بينما ينطوي HCI على عدد صغير من الأشخاص بشكل مباشر وعميق، يعتمد NLP تقليديا على التقييمات القياسية القياسية التي تنطوي على عدد أكبر من الأشخاص بشكل غير مباشر.نقدم خمس مقترحات منهجية عند تقاطع HCI و NLP وتعيينها في سياق نماذج NLP القائمة على ML.هدفنا هو تعزيز التعاون المتعدد التخصصات والتقدم المحرز في كلا المجالين من خلال التركيز على ما يمكن أن تتعلمه الحقول من بعضها البعض.
HCI and NLP traditionally focus on different evaluation methods. While HCI involves a small number of people directly and deeply, NLP traditionally relies on standardized benchmark evaluations that involve a larger number of people indirectly. We present five methodological proposals at the intersection of HCI and NLP and situate them in the context of ML-based NLP models. Our goal is to foster interdisciplinary collaboration and progress in both fields by emphasizing what the fields can learn from each other.
References used
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