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Register a new userAre Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement
هي المحولات نسخة حديثة من إليزا؟الملاحظات حول اتفاقية الفعل الفرنسي
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لقد أثبتت العديد من الأعمال الحديثة أن تمثيل الجملة غير المدعومة بالشبكات العصبية تشفص من المعلومات النحوية من خلال مراقبة أن نماذج اللغة العصبية قادرة على التنبؤ بالاتفاقية بين الفعل وموضوعها.نأخذ نظرة حاسمة في خط البحث هذا من خلال إظهار أنه من الممكن تحقيق دقة عالية في مهمة هذه الاتفاقية ذات الاستدلال السطحي البسيط، مما يشير إلى وجود عيب محتمل في تقييمنا القدرة الأساسية للشبكات العصبية.تظهر تحليلاتنا الدقيقة للنتائج على اتفاقية الفعل الفرنسية الطويلة المدى أنه يتعارض مع LSTMS، والمحولات قادرة على التقاط كمية غير تافهة من الهيكل النحوي.
Many recent works have demonstrated that unsupervised sentence representations of neural networks encode syntactic information by observing that neural language models are able to predict the agreement between a verb and its subject. We take a critical look at this line of research by showing that it is possible to achieve high accuracy on this agreement task with simple surface heuristics, indicating a possible flaw in our assessment of neural networks' syntactic ability. Our fine-grained analyses of results on the long-range French object-verb agreement show that contrary to LSTMs, Transformers are able to capture a non-trivial amount of grammatical structure.
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