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Register a new userTranslational NLP: A New Paradigm and General Principles for Natural Language Processing Research
Translication NLP: نموذج جديد ومبادئ عامة لأبحاث معالجة اللغات الطبيعية
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تجمع أبحاث معالجة اللغة الطبيعية (NLP) بين دراسة المبادئ العالمية، من خلال العلوم الأساسية، مع استهداف العلوم التطبيقية في حالات الاستخدام وإعدادات محددة. ومع ذلك، غالبا ما يفترض عملية التبادل بين NLP والتطبيقات الأساسية في كثير من الأحيان الظهور بشكل طبيعي، مما أدى إلى العديد من الابتكارات التي تسير دون مبرر والعديد من الأسئلة المهمة تركت غير مستعصة. نحن نصف نموذج جديد من Translationations NLP، الذي يهدف إلى بنية وتيسير العمليات التي تبلغ بها بحث NLP الأساسي والتطبيقي بعضها البعض. وبالتالي يعرض NLP نموذجا للبحث الثالث، ركز على فهم التحديات التي تطرحها احتياجات التطبيق وكيف يمكن أن تدفع هذه التحديات الابتكار في تصميم العلوم والتكنولوجيا الأساسية. نظرا لأن العديد من التطورات المهمة في أبحاث NLP قد برزت من تقاطع المبادئ الأساسية مع احتياجات الطلب، وتقديم إطار مفاهيمي يحدد أصحاب المصلحة والأسئلة الرئيسية في البحوث المتعلقة بالجمالية. يوفر إطار عملنا خريطة طريق لتطوير Translationations NLP كجال بحث مخصص، وتحدد المبادئ التعليمية العامة لتسهيل التبادل بين البحوث الأساسية والتطبيقية.
Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings. However, the process of exchange between basic NLP and applications is often assumed to emerge naturally, resulting in many innovations going unapplied and many important questions left unstudied. We describe a new paradigm of Translational NLP, which aims to structure and facilitate the processes by which basic and applied NLP research inform one another. Translational NLP thus presents a third research paradigm, focused on understanding the challenges posed by application needs and how these challenges can drive innovation in basic science and technology design. We show that many significant advances in NLP research have emerged from the intersection of basic principles with application needs, and present a conceptual framework outlining the stakeholders and key questions in translational research. Our framework provides a roadmap for developing Translational NLP as a dedicated research area, and identifies general translational principles to facilitate exchange between basic and applied research.
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