Aims and Scope
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.


Topics
Relevant topics include, but are not limited to, the following:

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.


Submissions
There are two classes of submissions:
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.
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 http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. 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For both classes, in addition to the original unpublished work, we also accept the papers that have already been published or presented in other venues.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=scidoca2022 . 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.


Post Proceedings
Selected papers will be published as a post-proceedings via Springer Verlag "Lecture Notes in Artificial Intelligence" series after the second round of review after the workshop.