Accurately Represent Contributors

The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. Each author listed on a submission to NAACL 2027 SRW will be notified of submissions, revisions and the final decision.

Data Management

If a submission describes work with a data set previously released by an organization or group (e.g. the LDC, ELRA, Kaggle), the source of the data should be appropriately referenced.

If a submission describes work with “found” data (e.g. data sampled from social media or the web), the source(s) of the data should be appropriately referenced, the method for sampling the data should be described, and any necessary permissions to use and/or release the data should be documented. In addition, the submission should document institutional review of the work as appropriate.

Human Subjects

If a submission describes work involving human participants or personally identifiable information (including crowdsourced work), the submission should document institutional review of the work as well as informed consent and compensation procedures for participants, and anonymization procedures for the data.

Referencing Prior Work

Submissions should accurately reference prior and related work, including code and data. If a piece of prior work appeared in multiple venues, the version that appeared in a refereed, archival venue should be referenced. If multiple versions of a piece of prior work exist, the one used by the authors should be referenced. Authors should not rely on automated citation indices to provide accurate references for prior and related work.

Authors are referred to the ACL author guidelines for additional information on how to appropriately cite prior work.

Optional Supplementary Materials: Appendices, Software and Data

Papers should not refer, for further detail, to documents, code or data resources that are not available to the reviewers. NAACL 2027 SRW does encourage the submission of additional material that is relevant to the reviewers but not an integral part of the paper.

There are two such types of material: appendices, which can be read, and non-readable supplementary materials, often data or code. Data and code should be submitted via the additional upload links on OpenReview.

Appendices should be placed after your References section, starting on a new page, within the same document as your main paper. Additional material must adhere to the same anonymity guidelines as the main paper. Finally, your paper must be self-contained: it is optional for reviewers to look at the supplementary material.

Ethics Policy

Authors are required to honour the ethical code set out in the ACM Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code.

We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns with their work.