Workshop: November 13 - 15, 2021
Raiosha in Hiyoshi Campus of Keio University, Yokohama, Kanagawa, Japan. (or online)
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.
Please register the workshop at registration page of JSAI International Symposia on AI 2021.
Relevant topics include, but are not limited to, the following:
Prof. Iryna Gurevych, UKP Lab at the Technical University, Germany
Abstract: Peer review is the major way to determine the status and importance of research outputs in science. The explosive publication growth of the past decades puts a strain on the traditional peer reviewing. Peer reviews are text, and thus make a promising target for natural language processing, from simple reviewer assistance to end-to-end review generation. However, peer reviewing data available for NLP research is scarce: existing datasets come from limited domains and are associated with a range of ethical and privacy-related challenges. What data does a single peer reviewing campaign produce? Who owns this data, and who should have a say in making it public? How can this data be redistributed and built upon? How can a research community transition to semi-open peer review, if decided to do so? UKP Lab leads the discussion on making data from the ACL community available for peer reviewing research. In this talk, we will discuss the major challenges of peer review as NLP data type, and present our past and ongoing work in analyzing peer reviewing data, providing secure access to sensitive review texts, and building sustainable workflows for continuous peer reviewing data collection. Our efforts contribute to consent-driven, ethically sound NLP for peer reviews in the ACL community and beyond.
Bio: Iryna Gurevych (PhD 2003, U. Duisburg-Essen, Germany) is professor of Computer Science and director of the Ubiquitous Knowledge Processing (UKP) Lab at the Technical University (TU) of Darmstadt in Germany. She joined TU Darmstadt in 2005 (tenured as full professor in 2009). Her main research interests are in machine learning for large-scale language understanding, text semantics and scientific literature mining. Iryna’s work has received numerous awards, e.g. ACL fellow 2020, or the first Hessian LOEWE Distinguished Chair (2,5 mil. Euro) in 2021. Currently, Iryna is the SIGDAT president and the co-director of the ELLIS NLP program. She was PC co-chair of ACL 2018 and has been elected to be the future president (2023) of the international Association for Computational Linguistics (ACL.
The page limits are up to 14 pages including references for the longer papers, and up to 7 pages including references for the short papers. (Reviewers will be told that there is no penalty for writing a shorter submission.)
All submissions should be written in English, formatted according to the Springer Verlag LNCS style in a pdf form, which can be obtained from here. The paper should be anonymized. If you use a word file, please follow the instruction of the format, and then convert it into a pdf form and submit it at the paper submission page.
For both classes, in addition to the original unpublished work, we also accept the papers that have already been published or presented in other venues. This submission should also be anonymized, and will be reviewed by the program committee.
The accepted papers will not be archived in general. The papers are distributed to the participants of the workshop on a USB flash drive. If the authors hope to make their paper publicly available, we also will provide a link to the pdf on this webpage. Otherwise, we do not upload the papers on the web. Unpublished submissions on both long and short paper tracks are considered as the candidates for post-proceedings of LNAI (the authors can also reject the invitation, if they wish). The papers will be archived only by this post-proceedings.
You can submit your paper at https://easychair.org/conferences/?conf=scidoca2021 . If you cannot submit a paper by EasyChair System by some trouble, please send email to "nguyenml[at]jaist.ac.jp"
If a paper is accepted, at least one author of the paper must register the workshop and present it. Please register the workshop at registration page.
Minh Le Nguyen, Japan Advanced Institute of Science and Technology
Yuji Matsumoto, RIKEN Center for Advanced Intelligence Project (Advisor)
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
For any inquiry concerning the workshop, please send it to "nguyenml[at]jaist.ac.jp"
SCIDOCA 2021 home page http://www.jaist.ac.jp/event/SCIDOCA/2021