Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userTeaching a Massive Open Online Course on Natural Language Processing
تدريس دورة ضخمة مفتوحة على الإنترنت على معالجة اللغة الطبيعية
407
0 0
0.0
(
0
)
Created by
Shamra Editor
Ask ChatGPT about the research
في هذه الورقة، نقدم دورة جديدة مفتوحة مفتوحة على الإنترنت على معالجة اللغة الطبيعية، وتستهدف الطلاب غير الإنجليزيين.تستمر الدورة 12 أسبوعا، كل أسبوع يتكون من محاضرات وجلسات عملية واعتيادات مسابقة.ثلاثة أسابيع من أصل 12 تليها الاعتمادات الترميز على غرار Kaggle.حدة الدورة لدينا لخدمة أغراض متعددة: (ط) العائلة الطلاب مع المفاهيم الأساسية والأساليب في NLP، مثل نمذجة اللغة أو تمثيلات الكلمة أو الكلمة، (II) إظهار أن التطورات الحديثة، بما في ذلك النماذج القائمة على المحولات المدربة مسبقا، هيبناء على هذه المفاهيم؛(3) تقديم هياكنا للحصول على معظم التطبيقات الحقيقية الأكثر طلبا، (3) تطوير مهارات عملية لمعالجة النصوص بلغات متعددة.تم إعداد الدورة المسجلة وتسجيلها خلال عام 2020 وحتى الآن تلقت ردود فعل إيجابية.
In this paper we present a new Massive Open Online Course on Natural Language Processing, targeted at non-English speaking students. The course lasts 12 weeks, every week consists of lectures, practical sessions and quiz assigments. Three weeks out of 12 are followed by Kaggle-style coding assigments. Our course intents to serve multiple purposes: (i) familirize students with the core concepts and methods in NLP, such as language modelling or word or sentence representations, (ii) show that recent advances, including pre-trained Transformer-based models, are build upon these concepts; (iii) to introduce architectures for most most demanded real-life applications, (iii) to develop practical skills to process texts in multiple languages. The course was prepared and recorded during 2020 and so far have received positive feedback.
References used
https://aclanthology.org/
rate research
Read More
It is generally agreed upon in the natural language processing (NLP) community that ethics should be integrated into any curriculum. Being aware of and understanding the relevant core concepts is a prerequisite for following and participating in the
discourse on ethical NLP. We here present ready-made teaching material in the form of slides and practical exercises on ethical issues in NLP, which is primarily intended to be integrated into introductory NLP or computational linguistics courses. By making this material freely available, we aim at lowering the threshold to adding ethics to the curriculum. We hope that increased awareness will enable students to identify potentially unethical behavior.
Natural Language Processing offers new insights into language data across almost all disciplines and domains, and allows us to corroborate and/or challenge existing knowledge. The primary hurdles to widening participation in and use of these new rese
arch tools are, first, a lack of coding skills in students across K-16, and in the population at large, and second, a lack of knowledge of how NLP-methods can be used to answer questions of disciplinary interest outside of linguistics and/or computer science. To broaden participation in NLP and improve NLP-literacy, we introduced a new tool web-based tool called Natural Language Processing 4 All (NLP4All). The intended purpose of NLP4All is to help teachers facilitate learning with and about NLP, by providing easy-to-use interfaces to NLP-methods, data, and analyses, making it possible for non- and novice-programmers to learn NLP concepts interactively.
We present an open-source toolkit for Danish Natural Language Processing, enabling easy access to Danish NLP's latest advancements. The toolkit features wrapper-functions for loading models and datasets in a unified way using third-party NLP framewor
ks. The toolkit is developed to enhance community building, understanding the need from industry and knowledge sharing. As an example of this, we present Angry Tweets: An Annotation Game to create awareness of Danish NLP and create a new sentiment-annotated dataset.
In this paper we provide an account of how we ported a text and data mining course online in summer 2020 as a result of the COVID-19 pandemic and how we improved it in a second pilot run. We describe the course, how we adapted it over the two pilot r
uns and what teaching techniques we used to improve students' learning and community building online. We also provide information on the relentless feedback collected during the course which helped us to adapt our teaching from one session to the next and one pilot to the next. We discuss the lessons learned and promote the use of innovative teaching techniques applied to the digital such as digital badges and pair programming in break-out rooms for teaching Natural Language Processing courses to beginners and students with different backgrounds.
There are thousands of papers about natural language processing and computational linguistics, but very few textbooks. I describe the motivation and process for writing a college textbook on natural language processing, and offer advice and encouragement for readers who may be interested in writing a textbook of their own.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
