Recent proliferation of scientific papers and technical documents has become an obstacle to efficient information acquisition of new information in various fields. It is almost impossible for individual researchers to check and read all related documents. Even retrieving relevant documents is becoming harder and harder. This workshop gathers all the researchers and experts who are aiming at scientific document analysis from various perspectives, and invite technical paper presentations and system demonstrations that cover any aspects of scientific document analysis.

As a special focus this year, we organize a shared task of Citation Prediction, Discovery, and Placement within scientific documents, which aims at boosting the study of relevancy among scientific documents. More details here: https://sites.google.com/view/scidoca/2025/shared-task

Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

Long paper on original and completed work, including concrete evaluation and analysis wherever appropriate; and
Short paper on a small, focused contribution, work in progress, a negative result, or an opinion piece.
List of Topics
text analysis
document structure analysis
logical structure analysis
figure and table analysis
citation analysis of scientific and technical documents
scientific information assimilation
summarization and visualization
knowledge discovery/mining from scientific papers and data
similar document retrieval
entity and relation linking between documents and knowledge base
survey generation
resources for scientific documents analysis
document understanding in general
NLP systems aiming for scientific documents including tagging, parsing, coreference, etc.
other related topics
Committees
Program Committee
Nguyen Le Minh, Japan Advanced Institute of Science and Technology
Noriki Nishida, RIKEN Center for Advanced Intelligence Project
Vu Tran, The Institute of Statistical Mathematics
Yusuke Miyao, The University of Tokyo
Yuji Matsumoto, RIKEN Center for Advanced Intelligence Project
Yoshinobu Kano, Shizuoka University
Akiko Aizawa, National Institute of Informatics
Ken Satoh, National Institute of Informatics and Sokendai
Junichiro Mori, The University of Tokyo
Kentaro Inui, Tohoku University
Nguyen Ha Thanh, National Institute of Informatics
Nguyen Minh Phuong, Japan Advanced Institute of Science and Technology
Organizing committee
Minh Le Nguyen, Japan Advanced Institute of Science and Technology
Yuji Matsumoto, RIKEN Center for Advanced Intelligence Project (Advisor)
Vu Tran, The Institute of Statistical Mathematics
Publication
Selected papers will be published in the proceedings of JSAI-isAI via Springer Verlag "Lecture Notes in Artificial Intelligence" series.

Venue
Osaka International Convention Center, Osaka, Japan and Online

Contact
nguyenml[at]jaist.ac.jp