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Register a new userWhat Taggers Fail to Learn, Parsers Need the Most
ما هي التقنيص في تعلم، يحتاج المحللون إلى أكثر
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نقدم تحليل خطأ في Taggers UPOS العصبية لتقييم سبب استخدام علامات الذهب هذه المساهمة الإيجابية الكبيرة في تحليل الأداء أثناء استخدام UPOS المتوقع إما للأداء أو يقدم تحسنا ضئيلا.نقوم أيضا بتقييم ما يتعلمه محلل التبعية العصبية ضمنيا حول أنواع الكلمات وكيف يتعلق الأمر بعملية الأخطاء التي يصنعها Taggers، لشرح التأثير الأدنى باستخدام علامات المتوقع على المحللين.ثم نقنع علامات UPOS بناء على أخطاء مصنوعة من Tagers لإطفاء مساهمة علامات UPOS تنجح Taggers وتفشل في تصنيفها بشكل صحيح وتأثير وضع العلامات على الأخطاء.
We present an error analysis of neural UPOS taggers to evaluate why using gold tags has such a large positive contribution to parsing performance while using predicted UPOS either harms performance or offers a negligible improvement. We also evaluate what neural dependency parsers implicitly learn about word types and how this relates to the errors taggers make, to explain the minimal impact using predicted tags has on parsers. We then mask UPOS tags based on errors made by taggers to tease away the contribution of UPOS tags that taggers succeed and fail to classify correctly and the impact of tagging errors.
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