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Register a new userENTRUST: Argument Reframing with Language Models and Entailment
Entrust: وسيطة REMRIMING مع نماذج اللغة وتتبعها
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التأطير ينطوي على العرض التقديمي الإيجابي أو السلبي للحجة أو إصدار اعتمادا على جمهور المتكلم والهدف.يمكن أن يكون للاختلافات في تأطير معجمي، محور عملنا، آثار كبيرة على آراء ومعتقدات الشعوب.لإحراز تقدم نحو حجج Reframing للتأثيرات الإيجابية، نقوم بإنشاء مجموعة بيانات وطريقة لهذه المهمة.نحن نستخدم موردا معجميا للدلالات "" لإنشاء كائن متوازي واقتراح طريقة للوقائية التي تجمع بين جيل النص القابل للتحكم (دلالة إيجابية) مع مكون استقصي بعد فك التشفير (نفس الإشارات).تظهر نتائجنا أن طريقتنا فعالة مقارنة مع خطوط الأساس القوية على طول أبعاد الطلاقة والمعنى والجدارة بالثقة / الحد من الخوف.
Framing involves the positive or negative presentation of an argument or issue depending on the audience and goal of the speaker. Differences in lexical framing, the focus of our work, can have large effects on peoples' opinions and beliefs. To make progress towards reframing arguments for positive effects, we create a dataset and method for this task. We use a lexical resource for connotations'' to create a parallel corpus and propose a method for argument reframing that combines controllable text generation (positive connotation) with a post-decoding entailment component (same denotation). Our results show that our method is effective compared to strong baselines along the dimensions of fluency, meaning, and trustworthiness/reduction of fear.
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