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Register a new userModeling Human Mental States with an Entity-based Narrative Graph
نمذجة الدول العقلية البشرية مع الرسم البياني السردي القائم على الكيان
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يتطلب فهم النص السردي التقاط الدوافع والأهداف والدول الذهنية.تقترح هذه الورقة رسم بياني سرد قائم على الكيان (ENG) لنموذج الدول الداخلية من الشخصيات في القصة.نحن النموذج الصريح كيانات، وتفاعلاتهم والسياق الذي تظهر فيه، وتعلموا تمثيلات غنية لهم.نقوم بتجربة أهداف مختلفة من المهام المتكيفة مسبقا، والتدريب داخل المجال، والاستدلال الرمزي لالتقاط التبعيات بين القرارات المختلفة في مساحة الإنتاج.نقوم بتقييم نموذجنا على مهام فهم سردية: التنبؤ بالحالات العقلية للشخصية، والوفاء بالرغبة، وإجراء تحليل نوعي.
Understanding narrative text requires capturing characters' motivations, goals, and mental states. This paper proposes an Entity-based Narrative Graph (ENG) to model the internal- states of characters in a story. We explicitly model entities, their interactions and the context in which they appear, and learn rich representations for them. We experiment with different task-adaptive pre-training objectives, in-domain training, and symbolic inference to capture dependencies between different decisions in the output space. We evaluate our model on two narrative understanding tasks: predicting character mental states, and desire fulfillment, and conduct a qualitative analysis.
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