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Register a new userRepresenting Implicit Positive Meaning of Negated Statements in AMR
تمثيل المعنى الإيجابي الضمني للبيانات المنفذة في عمرو
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أصبح تمثيل المعنى الملخص (AMR) شعبية لتمثيل معنى اللغة الطبيعية في هياكل الرسم البياني.ومع ذلك، لا يمثل AMR معلومات النطاق، مما يشكل مشكلة في التعبير الشامل وعلى وجه التحديد من أجل الاستدلالات من البيانات المنفذة.هذا هو الحال مع ما يسمى بتفسير إيجابي "من البيانات المنفذة، والتي يتم تحديد معنى إيجابي ضمني من خلال استنتاج تركيز النفي.في هذا العمل، يمكننا التحقيق في كيفية تمثيل التفسيرات الإيجابية المحتملة (PPIS) في عمرو.نقترح بنية AMR ذات دوافع منطقية ل PPIS التي تجعل تركيز النفي صريحا ورسم اقتراحا أوليا لمنهجية منهجية لتوليد هذه الهيكل التعبيري.
Abstract Meaning Representation (AMR) has become popular for representing the meaning of natural language in graph structures. However, AMR does not represent scope information, posing a problem for its overall expressivity and specifically for drawing inferences from negated statements. This is the case with so-called positive interpretations'' of negated statements, in which implicit positive meaning is identified by inferring the opposite of the negation's focus. In this work, we investigate how potential positive interpretations (PPIs) can be represented in AMR. We propose a logically motivated AMR structure for PPIs that makes the focus of negation explicit and sketch an initial proposal for a systematic methodology to generate this more expressive structure.
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