Although scientific literature plays a major part in research and policy-making, these texts represent an underserved area of NLP. NLP can play a role in addressing research information overload, identifying disinformation and its effect on people and society, and enhancing the reproducibility of science. The unique challenges of processing scholarly documents necessitate the development of specific methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, text mining, information retrieval, digital libraries, scientometrics, and others to develop and present methods and resources in support of these goals.
This workshop builds on the success of prior workshops: the 1st SDP workshop held at EMNLP 2020, and the 1st SciNLP workshop held at AKBC 2020. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL.
We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant tasks include:
We specifically invite research on important and/or underserved areas, such as:
We encourage submissions from diverse voices. Anyone who self-identifies with an underrepresented demographic, regardless of seniority, scientific background, training, etc., is welcome to submit their work and attend the workshop. We aim to create an inclusive space and look forward to receiving submissions from researchers of all identities, living anywhere, whether first time authors or more experienced writers.
The shared task track includes the following tasks:
More information about the tasks will be provided shortly on the shared tasks page.
Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings.
The submissions should be in PDF format and anonymized for review. All submissions must be written in English and follow the NAACL 2021 formatting requirements.
We follow the same policies as NAACL 2021 regarding preprints and double-submissions. The anonymity period for SDP 2021 is from February 15, 2021 to April 15, 2021.
Long paper submissions: up to 8 pages of content, plus unlimited references.
Short paper submissions: up to 4 pages of content, plus unlimited references.
Submission Website: Submission is electronic, using the Softconf START conference management system.
Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account.
To receive updates, please join our mailing list or follow us on Twitter.
The dates are at this stage indicative only and can change. The current dates are up-to-date as of March 15, 2021.
| Event | Date |
|---|---|
| Title & Abstract Submission Deadline | March 17, 2021 (23:59 UTC-12) |
| Paper Submission Deadline | March 22, 2021 (23:59 UTC-12) |
| Notification of acceptance | April 15, 2021 |
| Camera-ready submissions due | April 26, 2021 |
| Workshop | June 10, 2021 |
We are excited to have 3 keynote speakers at SDP 2021:
Title & abstract deadline – March 17 (23:59 UTC-12)
Paper submission deadline – March 22 (23:59 UTC-12)
Notification of acceptance – April 15
Camera-ready – April 26
Workshop – June 10
https://groups.google.com/g/sdproc-updates
Please contact sdproc2021@googlegroups.com with any questions regarding the workshop.