The Sixth Workshop on Teaching NLP will be co-located with the 2024 Annual Meeting of the Association for Computational Linguistics in Bangkok, Thailand. The workshop will occur on August 15 (hybrid option available). For on-site attendees, the room is Lotus Suite 11.
The one-day workshop will combine a program of traditional keynotes, posters, and oral presentations, with discourse through panel discussion, and focus on building a community for sharing resources.
09:00 Welcome
09:15 Panel Discussion
10:15 Oral Empowering the Future with Multilinguality and Language Diversity (En-Shiun Annie Lee, Kosei Uemura, Syed Mekael Wasti)
10:22 Oral Occam's Razor and Bender and Koller's Octopus (Michael Guerzhoy)
10:30 Coffee Break
11:00 Oral Industry vs Academia: Running a Course on Transformers in Two Setups (Irina Nikishina, Maria Tikhonova, Viktoriia A. Chekalina, Alexey Zaytsev, Artem Vazhentsev, Alexander Panchenko)
11:15 Oral From Hate Speech to Societal Empowerment: A Pedagogical Journey Through Computational Thinking and NLP for High School Students (Alessandra Teresa Cignarella, Elisa Chierchiello, Chiara Ferrando, Simona Frenda, Soda Marem Lo, Andrea Marra)
11:30 Oral Teaching Natural Language Processing in Law School (Daniel Braun)
11:45 Oral Training an NLP Scholar at a Small Liberal Arts College: A Backwards Designed Course Proposal (Grusha Prasad, Forrest Davis)
12:00 Resource Activity
13:00 Lunch
14:00 Keynote
15:00 Poster Documenting the Unwritten Curriculum of Student Research (Shomir Wilson)
Example-Driven Course Slides on Natural Language Processing Concepts (Natalie Parde)
Tightly Coupled Worksheets and Homework Assignments for NLP (Laura Biester, Winston Wu)
Teaching LLMs at Charles University: Assignments and Activities (Jindřich Helcl, Zdeněk Kasner, Ondrej Dusek, Tomasz Limisiewicz, Dominik Macháček, Tomáš Musil, Jindřich Libovický)
A Course Shared Task on Evaluating LLM Output for Clinical Questions (Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li, Lukas Rohde, Iryna Gurevych)
A Prompting Assignment for Exploring Pretrained LLMs (Carolyn Jane Anderson)
Exploring Language Representation through a Resource Inventory Project (Carolyn Jane Anderson)
16:00 Oral Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy (Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang)
16:15 Oral Co-Creational Teaching of Natural Language Processing (John Philip McCrae)
16:30 Oral Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing (Matthias Aßenmacher, Andreas Stephan, Leonie Weissweiler, Erion Çano, Ingo Ziegler, Marwin Härttrich, Bernd Bischl, Benjamin Roth, Christian Heumann, Hinrich Schuetze)
16:45 Oral BELT: Building Endangered Language Technology (Michael Ginn, David Ricardo Saavedra Beltran, Camilo Alberto Robayo Romero, Alexis Palmer)
17:00 Oral An Interactive Toolkit for Approachable NLP (AriaRay Brown, Julius Steuer, Marius Mosbach, Dietrich Klakow)
17:15 Closing Remarks
The field of Natural Language Processing (NLP) is growing rapidly, with new state-of-the-art methods emerging every year. This rapid growth challenges educators of NLP courses and degree programs to constantly revise their old material and create fresh NLP courses and degree programs, as well as new best practices and educational materials focused on emerging subareas of NLP. To support those facing these challenges, our one-day workshop will bring together the communities of NLP research and education to facilitate active discussion on questions including (but not limited to):
How can we facilitate meaningful conversations about language among Computer Science students?
How do we include user-centered design in core NLP curricula?
How should NLP educators design curricula that equip students with the ability to advance responsible and ethical NLP?
How can we design assignments that require GPU access or the use of paid APIs?
What are best practices that NLP educators from universities, industry groups, and Massive OpenOnline Courses (MOOCs) can use to share tools and resources for NLP education?
This timely sixth edition of the Teaching NLP Workshop builds on prior successful offerings to tackle the most pressing issues in how to design NLP courses and bring together instructors from various backgrounds to discuss, create, and refine instructional design and material.
We invite short paper submissions (up to 2 pages, excluding references) that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, and assignments. These short papers will also be peer-reviewed and published in workshop proceedings, as well as presented in posters or demos. The corresponding teaching materials, while not being part of proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository/wiki where authors may opt-in to make their materials available for the community after the workshop.
We invite papers of up to 8 pages discussing pedagogical aspects of NLP, focusing on (but not limited to) any of the following general topics:
Tools and methodologies (e.g., active learning, flipped classroom)
Scaling curricula to fit large class sizes
Adapting existing curricula to incorporate new NLP advancements
Teaching online NLP courses or adjusting courses to become remote
Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform
Teaching heterogenous groups of students (e.g., with respect to prior experience in computer science and linguistics)
Teaching underrepresented students
Bridging the gap between academic training and industry needs
Incorporating ethics, reproducibility, and responsible practices in NLP courses
Teaching multilingual NLP
Anonymity Policy
Both submission types will be single-blind, to prevent authors from having to spend too much time removing all references to the student demographic, location, university etc.
OpenReview
All submissions will be processed through OpenReview [link here].
Paper Submission: May 19, 2024 [Extended]
Notification of Acceptance: June 17, 2024
Camera-Ready Deadline: July 1, 2024 [an additional page is allowed for both paper types for the camera-ready]
Teaching NLP Workshop: August 15, 2024
David Adelani
McGill
Karën Fort
Sorbonne / LORIA
Lori Levin
CMU
Rada Mihalcea
University of Michigan
Graham Neubig
CMU
Aiala Rosá
Universidad de la República Uruguay
Sherry Wu
CMU
Sana Al-azzawi
Luleå University of Technology
Laura Biester
Middlebury College
György Kovács
Luleå University of Technology
Ana Marasović
University of Utah
Leena Mathur
CMU
Margot Mieskes
University of Applied Sciences, Darmstadt
Leonie Weissweiler
LMU Munich
