جمعنا جثة من الحوار ذات الموجهة نحو المهام البشرية البشرية الغنية بعدم الرضا وبناء نموذج يستخدم ميزات prosodic للتنبؤ عندما يكون المستخدم غير راض.بالنسبة للكلام، حصل هذا على درجة F.25 من 0.62، مقابل خط أساس 0.39.بناء على الملاحظات النوعية وتحليل الفشل، نناقش طرق محتملة لتحسين هذه النتيجة لجعلها فائدة عملية.
We collected a corpus of human-human task-oriented dialogs rich in dissatisfaction and built a model that used prosodic features to predict when the user was likely dissatisfied. For utterances this attained a F.25 score of 0.62,against a baseline of 0.39. Based on qualitative observations and failure analysis, we discuss likely ways to improve this result to make it have practical utility.
References used
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