يدقق هذا البرنامج التعليمي أحدث التقدم التقني في التحليل النحوي ودور بناء الجملة في مهام معالجة اللغة الطبيعية المناسبة (NLP)، حيث يتمثل الترجمة الدلالية في الدورات الدلالية (SRL) والترجمة الآلية (MT) المهام التي لديهاكان دائما مفيدا من أدلة النحوية الإعلامية منذ فترة طويلة، على الرغم من أن التقدم من طرازات التعلم العميق المنتهي في النهاية يظهر نتائج جديدة.في هذا البرنامج التعليمي، سنقدم أولا الخلفية وأحدث التقدم المحرز في التحليل النحوي و SRL / NMT.بعد ذلك، سنلخص الأدلة الرئيسية حول التأثيرات النحوية على هذين المهامين المتعلقين، واستكشاف الأسباب وراء كل من الخلفيات الحسابية واللغوية.
This tutorial surveys the latest technical progress of syntactic parsing and the role of syntax in end-to-end natural language processing (NLP) tasks, in which semantic role labeling (SRL) and machine translation (MT) are the representative NLP tasks that have always been beneficial from informative syntactic clues since a long time ago, though the advance from end-to-end deep learning models shows new results. In this tutorial, we will first introduce the background and the latest progress of syntactic parsing and SRL/NMT. Then, we will summarize the key evidence about the syntactic impacts over these two concerning tasks, and explore the behind reasons from both computational and linguistic backgrounds.
References used
https://aclanthology.org/
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