NAACL 2022 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. NAACL 2022 has a goal of a diverse technical program—in addition to traditional research results, papers may contribute negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing techniques, and reproduce, or fail to reproduce, previous results.
As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL (TACL) and by the Computational Linguistics (CL) journals.
New this year:
- Reviewing for main conference submissions will be handled by the ACL Rolling Review, except for Special Theme submissions.
- Accepted papers will have the option to earn reproducibility badges.
Special Theme: Human-Centered Natural Language Processing
As NLP applications increasingly mediate people’s lives, it is crucial to understand how the design decisions made throughout the NLP research and development lifecycle impact people, whether there are users, developers, data providers or other stakeholders. For NAACL 2022, we invite submissions that address research questions that meaningfully incorporate stakeholders in the design, development, and evaluation of NLP resources, models and systems. We particularly encourage submissions that bring together perspectives and methods from NLP and Human-Computer Interaction. In addition to research papers presenting studies, we invite survey and position papers that take stock of past work in human-centered NLP and propose directions for framing future research.
Topics of interest include: usability studies of language technologies; needs-findings studies; studies of human factors in the NLP R&D lifecycle, including interactive systems; human-centered fairness, accountability, explainability, transparency, and ethics in NLP systems.
Relevant methods include (but are not limited to) user-centered design, value-sensitive design, participatory design, assets-based design, and qualitative methods, such as grounded theory. We welcome contributions that use such methods to study NLP problems, as well as methodological innovations and tools that tailor these methods to NLP.
More information about the special theme, including how special theme submissions differ from regular paper submissions can be found here.