Submission Guidelines
The ACL has released policies for submission, review, and citation (more information here). ACL 2024 SRW will adhere to these policies and guidelines.
Submissions should:
Be relevant: Submissions to ACL 2024 SRW should be relevant to the audience.
Be original: The content of submissions to ACL 2024 SRW (the idea, the findings, the results, and the words) should be original; that is, they cannot be published material (or material accepted for publication) in another refereed, archival form (such as a book, a journal, or conference proceedings). Authors are referred to the latest ACL author guidelines for additional information on what constitutes existing publication.
Authors may present preliminary versions of their work from other venues that are not refereed or not archival (e.g. course reports, theses, non-archival workshops, or preprint servers such as arXiv.org). Authors should list all such previous presentations in the submission form.
The first author of the papers MUST BE a student.
Student Status Proof
We require the first author of accepted papers to provide proof of student status at the camera-ready stage. To facilitate this, we encourage first authors to prepare the necessary document in advance. The following types of proof are acceptable:
A picture of your student card
A study enrollment document from your current institution
A transcript of your study
We understand that some students may have graduated or are on a gap year, but completed the work while they were still students. This situation is acceptable, and authors can provide the above documents from their most recent period of study.
Multiple Submission Policy
We follow the ARR Multiple Submission Policy (see the guidelines here). Double submission to the ACL SRW and any other venue simultaneously (including ARR) is thus not allowed.
Authors of papers accepted for presentation at ACL 2024 SRW must notify the program chairs whether the paper will be presented. Accepted papers must be presented at the workshop in order for them to appear in the proceedings. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere.
In the case of two different submissions, the authors must ensure that these submissions do not overlap significantly (> 75%) with each other in content or results.
Double Blind Review
Double blind review is a form of peer review in which the identities of authors are not provided to reviewers, and the identities of reviewers are not provided to authors. To facilitate double blind review, submissions must not identify authors or their affiliations. For example, self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”.
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 ACL SRW 2024 will be notified of submissions, revisions and the final decision. No changes to the order or composition of authorship may be made to submissions to ACL SRW 2024 after the submission deadline.
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.
Citation and Comparison
You are expected to cite all refereed publications relevant to your submission, but you may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). In cases where a preprint has been superseded by a refereed publication, the refereed publication should be cited instead of the preprint version. Papers (whether refereed or not) appearing less than 3 months before the submission deadline are considered contemporaneous to your submission, and you are therefore not obliged to make detailed comparisons that require additional experimentation and/or in-depth analysis.
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. ACL SRW 2024 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.