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Register a new userSHAPELURN: An Interactive Language Learning Game with Logical Inference
Shapelurn: لعبة تعلم اللغة التفاعلية مع الاستدلال المنطقي
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نحن نحقق في ما إذا كان هناك نموذج يمكن أن يتعلم اللغة الطبيعية مع الحد الأدنى من المدخلات اللغوية من خلال التفاعل.معالجة هذا السؤال، نقوم بتصميم وتنفيذ لعبة تعليمية تفاعلية تتعلم التمثيلات الدلالية المنطقية تكوين.تتيح لنا لعبتنا استكشاف فوائد الاستدلال المنطقي لتعلم اللغة الطبيعية.يوضح التقييم أن النموذج يمكن أن يضيق بدقة التمثيلات المنطقية المحتملة للكلمات على مدار اللعبة، مما يشير إلى أن نموذجنا قادر على تعلم تعيينات معجمية من الصفر بنجاح.
We investigate if a model can learn natural language with minimal linguistic input through interaction. Addressing this question, we design and implement an interactive language learning game that learns logical semantic representations compositionally. Our game allows us to explore the benefits of logical inference for natural language learning. Evaluation shows that the model can accurately narrow down potential logical representations for words over the course of the game, suggesting that our model is able to learn lexical mappings from scratch successfully.
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