Workshop Program
Check out our workshop Jupyter book for more details on the workshop program.
Keynote Speakers
Jason Eisner
Jason is a computer science professor at Johns Hopkins University, and his research focuses on novel NLP methods. He is also the Director of Research at Semantic Machines.
Panelists
We are planning two panels with the following invited guests from academia and industry.
Panel I What should we be teaching?
Isabelle Augenstein is an associate professor in Computer Science at the University of Copenhagen. [website]
Emily M. Bender is a Professor of Linguistics at the University of Washington and Director of their professional master's program in computational linguistics. [website]
Yoav Goldberg is a Senior Lecturer in Computer Science at Bar Ilan University. [website]
Dan Jurafsky is Professor of Linguistics and Professor of Computer Science at Stanford University. [website]
Panel II What does industry need?
Lenny Bronner is a senior data scientist at The Washington Post. [website]
Delip Rao is the Entrepreneur in Residence at the Allen Institute for AI. [website]
Frank Rudzicz is an Associate Professor in Computer Science at the University of Toronto. [website]
Rachael Tatman is a senior developer advocate for Rasa, working on open-source and conversational AI. [website]
Accepted Papers
Natural Language Processing for Computer Scientists and Data Scientists at a Large State University
Casey Kennington
On Writing a Textbook on Natural Language Processing
Jacob Eisenstein
Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities
Sowmya Vajjala
The Online Pivot: Lessons Learned from Teaching a Text and Data Mining Course in Lockdown, Enhancing online Teaching with Pair Programming and Digital Badges
Beatrice Alex, Clare Llewellyn, Pawel Orzechowski, Maria Boutchkova
Pedagogical Principles in the Online Teaching of Text Mining: A Retrospection
Rajkumar Saini, György Kovács, Mohamadreza Faridghasemnia, Hamam Mokayed, Oluwatosin Adewumi, Pedro Alonso, Sumit Rakesh, Marcus Liwicki
Gaining Experience with Structured Data: Using the Resources of Dialog State Tracking Challenge Ronnie Smith
Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students
Ludovica Pannitto, Lucia Busso, Claudia Roberta Combei, Lucio Messina, Alessio Miaschi, Gabriele Sarti, Malvina Nissim
The Flipped Classroom model for teaching Conditional Random Fields in an NLP course
Manex Agirrezabal
A New Broad NLP Training from Speech to Knowledge
Maxime Amblard and Miguel Couceiro
Teaching a Massive Open Online Course on Natural Language Processing
Ekaterina Artemova, Murat Apishev, Denis Kirianov, Veronica Sarkisyan, Sergey Aksenov, Oleg Serikov
A Balanced and Broadly Targeted Computational Linguistics Curriculum
Emma Manning, Nathan Schneider, Amir Zeldes
Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery
Alexandra Schofield, Richard Wicentowski, Julie Medero
Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts
Rebekah Baglini and Hermes Hjorth
Accepted Teaching Materials
Flamingos and Hedgehogs in the Croquet-Ground: Teaching Evaluation of NLP Systems for Undergraduate Students
Brielen Madureira
Applied Language Technology: NLP for the Humanities
Tuomo Hiippala
Contemporary NLP Modeling in Six Comprehensive Programming Assignments
Greg Durrett, Jifan Chen, Shrey Desai, Tanya Goyal, Lucas Kabela, Yasumasa Onoe, Jiacheng Xu
A Crash Course on Ethics for Natural Language Processing
Annemarie Friedrich and Torsten Zesch
MiniVQA - A resource to build your tailored VQA competition
Jean-Benoit Delbrouck
A dissemination workshop for introducing young Italian students to NLP
Lucio Messina, Lucia Busso, Claudia Roberta Combei, Alessio Miaschi, Ludovica Pannitto, Gabriele Sarti, Malvina Nissim
Interactive Assignments for Teaching Structured Neural NLP
David Gaddy, Daniel Fried, Nikita Kitaev, Mitchell Stern, Rodolfo Corona, John DeNero, Dan Klein
Introducing Information Retrieval for Biomedical Informatics Students
Sanya Taneja, Richard Boyce, William Reynolds, Denis Newman-Griffis
An Immersive Computational Text Analysis Course for Non-Computer Science Students at Barnard College
Adam Poliak and Jalisha Jenifer
From back to the roots into the gated woods: Deep learning for NLP
Barbara Plank
Learning about Word Vector Representations and Deep Learning through Implementing Word2vec
David Jurgens
Learning PyTorch Through A Neural Dependency Parsing Exercise
David Jurgens
Naive Bayes versus BERT: Jupyter notebook assignments for an introductory NLP course
Jennifer Foster and Joachim Wagner