The Seventh Workshop on Teaching NLP
Call for Papers
Educators designing Natural Language Processing (NLP) and/or Computational Linguistics (CL) courses and degree programs face unique challenges due to the rapid progress of the field, particularly with the impact of generative AI and Large Language Models (LLMs). Here, the challenge is two-fold: A) courses need to keep up with the pace in terms of the content covered, while B) it will be crucial for educators to adapt the course design accordingly, acknowledging the existence and the use of LLMs by students. To support all those who are facing these challenges, we are planning a discussion-heavy one-day workshop to bring together the communities of NLP research and education, and facilitate active discussion on questions such as (but not limited to):
*
How can we balance technical details, linguistic background, and domain knowledge in NLP-related courses? *
How do we keep the human in the loop? *
How can the community support educators at different institutions and career levels?
This timely seventh edition of the Teaching NLP Workshop builds on prior successful offerings [1] 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.
Submission Information
We invite submissions in two categories: short papers (2 pages) on teaching materials and full papers (8 pages) on original, unpublished research (both regular research papers and position papers).
Format
All submissions must use the official ACL LaTeX style template [2] and follow the standard ACL submission requirements [3]. References and appendices do not count against the page limit (8 pages). Limitations and ethical considerations are optional and do not count against these limits either. Papers that do not conform to these requirements will be desk-rejected without review.
Submission Process
For submission and the review process, we will use OpenReview. If you do not have an OpenReview account yet, make sure to create it well in advance of the deadline. This is especially important, as in some cases, the approval of the account may take some time. The reviewing process will be single-blind.
Submission Link (OpenReview): tbd
Submission Type 1: Short Papers on Teaching Materials
We invite submissions of short papers of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, programming assignments, or projects. These short papers need not be anonymized, but will be peer-reviewed and published as part of the workshop proceedings, and presented as posters and/or demos. The associated teaching materials, while not being part of the proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository where authors may opt in to make their materials available for reuse after the workshop.
Submission Type 2: Full Papers
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., teaching with code, 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, with respect to their social and cultural background, etc.) *
Teaching underrepresented students *
Bridging the gap between academic training and industry needs *
Incorporating ethics, reproducibility, and responsible practices in NLP courses *
Teaching multilingual NLP
Important Dates
*
First Call for Papers: October 15, 2025 *
Paper Submission: December 19, 2025 *
Notification of Acceptance: January 23, 2026 *
Camera-Ready Deadline: February 3, 2026 *
Teaching NLP Workshop: 1 day workshop co-located with EACL (March 24 to 29, 2026)
All deadlines are 23:59 AoE (anywhere on earth).
Links: ------ [1] https://sites.google.com/view/teachingnlpacl2024 [2] https://github.com/acl-org/acl-style-files [3] https://aclrollingreview.org/cfp
The Seventh Workshop on Teaching NLP
Second Call for Papers
Educators designing Natural Language Processing (NLP) and/or Computational Linguistics (CL) courses and degree programs face unique challenges due to the rapid progress of the field, particularly with the impact of generative AI and Large Language Models (LLMs). Here, the challenge is two-fold: A) courses need to keep up with the pace in terms of the content covered, while B) it will be crucial for educators to adapt the course design accordingly, acknowledging the existence and the use of LLMs by students. To support all those who are facing these challenges, we are planning a discussion-heavy one-day workshop to bring together the communities of NLP research and education, and facilitate active discussion on questions such as (but not limited to):
*
How can we balance technical details, linguistic background, and domain knowledge in NLP-related courses? *
How do we keep the human in the loop? *
How can the community support educators at different institutions and career levels?
This timely seventh edition of the Teaching NLP Workshop builds on prior successful offerings [1] 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.
Submission Information
We invite submissions in two categories: short papers (2 pages) on teaching materials and full papers (8 pages) on original, unpublished research (both regular research papers and position papers).
Format
All submissions must use the official ACL LaTeX style template [2] and follow the standard ACL submission requirements [3]. References and appendices do not count against the page limit (8 pages). Limitations and ethical considerations are optional and do not count against these limits either. Papers that do not conform to these requirements will be desk-rejected without review.
Submission Process
For submission and the review process, we will use OpenReview. If you do not have an OpenReview account yet, make sure to create it well in advance of the deadline. This is especially important, as in some cases, the approval of the account may take some time. The reviewing process will be single-blind.
Submission Link (OpenReview): https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/TeachNLP
Submission Type 1: Short Papers on Teaching Materials
We invite submissions of short papers of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, programming assignments, or projects. These short papers need not be anonymized, but will be peer-reviewed and published as part of the workshop proceedings, and presented as posters and/or demos. The associated teaching materials, while not being part of the proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository where authors may opt in to make their materials available for reuse after the workshop.
Submission Type 2: Full Papers
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., teaching with code, 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, with respect to their social and cultural background, etc.) *
Teaching underrepresented students *
Bridging the gap between academic training and industry needs *
Incorporating ethics, reproducibility, and responsible practices in NLP courses *
Teaching multilingual NLP
Important Dates
*
First Call for Papers: October 15, 2025 *
Paper Submission: December 19, 2025 *
Notification of Acceptance: January 23, 2026 *
Camera-Ready Deadline: February 3, 2026 *
Teaching NLP Workshop: 1 day workshop co-located with EACL (March 24 to 29, 2026)
All deadlines are 23:59 AoE (anywhere on earth).
Links: ------ [1] https://sites.google.com/view/teachingnlpacl2024 [2] https://github.com/acl-org/acl-style-files [3] https://aclrollingreview.org/cfp
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