Accepted Workshops

Workshop Name (Abbrivation)Workshop Name (Full)DurationContact Person EmailSoftconf ID (can be more than one)Workshop IntroEstimated ParticipantsWorkshop URL
SRWStudent Research Workshopaacl-srw-2023@googlegroups.comThe IJCNLP-AACL 2023 Student Research Workshop (SRW) will be held in conjunction with the IJCNLP-AACL 2023 conference. The SRW gives student researchers in Computational Linguistics and Natural Language Processing the opportunity to present their work and receive constructive feedback and mentorship by experienced members of the ACL community.30
NLPMC3rd Workshop on NLP for Medical Conversationshalfkhoslasopan@gmail.comsopan_khoslaThe goal of this workshop is to discuss state-of-the-art approaches in conversational AI, as well as share insights and challenges when applied in healthcare. This is critical in order to bridge gaps between research and real-world product deployments, this will further shed light on future directions. This will be a one-day workshop including keynotes, spotlight talks, posters, and panel sessions.40
WIESPWorkshop on Information Extraction from Scientific Publicationshalftirthankar.slg@gmail.compavel, fgrezes, marblestationWIESP provides a platform to researchers to foster discussion and research on information extraction, mining, generation, and knowledge discovery from scientific publications using Natural Language Processing and Machine Learning techniques.30
Eval4NLPThe Fourth Workshop on Evaluation & Comparison of NLP Systemshalfopitz@cl.uni-heidelberg.dejurioFair evaluations and comparisons are of fundamental importance to the
NLP community to properly track progress, especially within the current
deep learning revolution, with new state-of-the-art results reported in
ever shorter intervals. This concerns the creation of benchmark datasets
that cover typical use cases and blind spots of existing systems, the
designing of metrics for evaluating the performance of NLP systems on
different dimensions, and the reporting of evaluation results in an
unbiased manner. Although certain aspects of NLP evaluation and
comparison have been addressed in previous workshops (e.g., Metrics
Tasks at WMT, NeuralGen, NLG-Evaluation, and New Frontiers in
Summarization), we believe that new insights and methodology,
particularly in the last 2-3 years, have led to much renewed interest in
the workshop topic. The first workshop in the series, Eval4NLP’20
(collocated with EMNLP’20), was the first workshop to take a broad and
unifying perspective on the subject matter. The second (Eval4NLP’21
collocated with EMNLP’21) and third (Eval4NLP’22 collocated with
AACL’22) workshop extended this perspective. The fourth workshop will
continue the tradition and become a reputed platform for presenting and
discussing latest advances in NLP evaluation methods and resources. The
special topic of this year’s version is evaluation of and evaluation
through LLM. Therefore, Eval4NLP will feature a shared task on LLM
evaluation and encourages the submission of LLM-evaluation focused
SocialNLPThe 11th International Workshop on Natural Language Processing for Social
SEAThe First Workshop on South East Asian Language Processinghalf
FinNLPThe 6th Workshop on Financial Technology and Natural Language Processinghalfc.c.chen@acm.orgchunjiThe aim of this workshop is to provide a forum where international participants share knowledge on applying NLP to the FinTech domain. Recently, analyzing documents related to finance and economics has attracted much attention in the AI community. In the financial field, FinTech is a new industry that focuses on improving financial activity with technology. Thus, in order to bridge the gap between the NLP research and the financial applications, we organize FinNLP workshop series. One of the expected accomplishments of FinNLP is to introduce insights from the financial domain to the NLP community. With the sharing of the researchers in FinNLP, the challenging problems of blending FinTech and NLP will be identified, and the future research direction will be shaped. That can broaden the scope of this interdisciplinary research area.35
NLIntSecond Workshop on Natural Language Interfacesfullvinayshk@amazon.comvinayshekhar000The aim of this workshop is to bring together researchers in both industry and academia who are interested in the advancement of NLInt. Historically, a lot of work on NLInts has happened within the industry, but this workshop aims to bring together both academic and industry researchers to combine their expertise and knowledge. Researchers who work in Natural Language Processing (NLP) and Human Computer Interaction (HCI) are welcome to discuss the existing issues of today’s NLInt and suggest improvements that will help in the advancement of the field. We welcome papers along both the modeling domains as well as the interfaces domain. For modeling, researchers could focus on highlighting the issues with existing NLP models/algorithms and/or suggest improvements both in terms of absolute performance as well as latency. For HCI, researchers can focus on the issues with the existing NLInt and discuss interesting new ideas to improve the user-experience of NL interfaces.50
ArtOfSafetyThe ART of Safety: Workshop on Adversarial testing and Red-Teaming for generative AIfullaliciaparrish@google.comaliciaparrish“The ART of Safety” is a workshop on the promise and pitfalls of adversarial testing and red-teaming for safety issues in generative AI. Towards this end, the workshop has two main goals: (i) Collect and compare red-teaming results for Text-2-Image (T2I) models. We welcome both empirical and position papers discussing experiences and results from using the Adversarial Nibbler challenge; (ii) Provide an overview of current approaches, methods and techniques for red-teaming and adversarial testing. We welcome both empirical and position papers discussing various workshop topics including data quality, safety evaluations, safety ground truth, etc.50