Abstract
The workshop on Scholarly Document Processing (SDP) started in 2020 to accelerate research, inform policy and educate the public on natural language processing for scientific text. The fourth iteration of the workshop, SDP24 was held at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL24) as a hybrid event. The SDP workshop saw a great increase in interest, with 57 submissions, of which 28 were accepted. The program consisted of a research track, four invited talks and two shared tasks: 1) DAGPap24: Detecting automatically generated scientific papers and 2) Context24: Multimodal Evidence and Grounding Context Identification for Scientific Claims. The program was geared towards NLP, information extraction, information retrieval, and data mining for scholarly documents, with an emphasis on identifying and providing solutions to open challenges.
| Original language | English |
|---|---|
| Title of host publication | SDP 2024 - 4th Workshop on Scholarly Document Processing, Proceedings of the Workshop |
| Editors | Tirthankar Ghosal, Amanpreet Singh, Anita de Waard, Philipp Mayr, Aakanksha Naik, Orion Weller, Yoonjoo Lee, Shannon Shen, Yanxia Qin |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798891761513 |
| State | Published - 2024 |
| Event | 4th Workshop on Scholarly Document Processing, SDP 2024 at ACL 2024 - Bangkok, Thailand Duration: Aug 16 2024 → … |
Publication series
| Name | SDP 2024 - 4th Workshop on Scholarly Document Processing, Proceedings of the Workshop |
|---|
Conference
| Conference | 4th Workshop on Scholarly Document Processing, SDP 2024 at ACL 2024 |
|---|---|
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 08/16/24 → … |
Funding
We organizers wish to thank all those who contributed to this workshop series: The researchers who contributed papers, the many reviewers who generously offered their time and expertise, and the participants of the workshop. Philipp Mayr received funding via the OUTCITE project (Backes et al., 2024) at GESIS Cologne and University Stuttgart (Funder: Deutsche Forschungsgemeinschaft; Grant: MA 3964/8-2).
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