About the workshop

Important updates

• Submission site is now available. All deadlines below are at 23:59 UTC-12 (Anywhere on Earth).
• The title and abstract submission deadline is May 17 31, 2024.

You are invited to participate in the 4^th Workshop on Scholarly Document Processing (SDP 2024) to be held at ACL 2024. The SDP 2024 workshop will consist of a Research track and two Shared Tasks. The call for research papers is described below.

Papers must follow the ACL format and conform to the ACL 2024 Submission Guidelines. Paper submission has to be done through openreview: ACL 2024 Workshop.

Introduction

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 and 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 1^st and 2^nd SDP workshops held at EMNLP 2020 and NAACL 2021, the 3^rd SDP workshop held at COLING 2022, and the 1^st and 2^nd SciNLP workshop held at AKBC 2020 and 2021. 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.

Topics of interest

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 (but are not limited to):

• Large Language Models (LLMs) for Science
• Representation learning and language modeling
• Information extraction and NER
• Document understanding
• Summarization and generation
• Question-answering
• Discourse modeling/argumentation mining
• Network analysis
• Bibliometrics, scientometrics, and altmetrics
• Reproducibility and research integrity, including new challenges posed by generative AI
• Peer review tools, principles and technology
• Metadata and indexing
• Inclusion of datasets and computational resources
• Research infrastructures and digital libraries
• Increasing the representation in scholarly work of disadvantaged populations
• LLM-based interfaces to consume/produce scholarly documents

Inclusivity

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.

Submission Information

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. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found in the ACL Anthology).

The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2024 formatting requirements:

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 OpenReview 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.

Important Dates

The dates are at this stage indicative only and can change. The current dates are up-to-date as of Feb 6th, 2024.

Event	Date
Paper Submission Deadline	May 17 31, 2024 (23:59 UTC-12)
Notification of acceptance	June 28, 2024 (23:59 UTC-12)
Camera-ready submissions due	July 5, 2024 (23:59 UTC-12)
Workshop Dates	August 15-16, 2024

Keynote Speakers

We are excited to have several keynote speakers at SDP 2024. The following speakers have been confirmed.

• Iryna Gurevych, Professor at Technical University Darmstadt and head of the UKP Lab
• Anna Rogers, Assistant Professor at the University of Copenhagen
• Heng Ji, Professor at the University of Illinois at Urbana-Champaign
• Doug Downey, Associate Professor at Northwestern University and Research Manager at Allen Institute for AI

Shared Tasks

SDP 2024 will host two exciting shared tasks. More information about all shared tasks is provided on the shared tasks page. Each shared task will follow-up with a separate CfP.

The shared task track includes the following tasks:

1. Detecting automatically-generated papers (DAGPAP24)
2. Contextualizing Scientific Figures and Tables (Context24)

For detailed information about the tasks, data, evaluation, and organizers, please see the shared tasks page.