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SCIDOCA 2024 : Eighth International Workshop on SCIentific DOCument Analysis

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Link: https://www.jaist.ac.jp/event/SCIDOCA/2024/
 
When May 28, 2024 - May 31, 2024
Where Hamamatsu, Shizuoka, Japan
Submission Deadline Jan 31, 2024
Notification Due Feb 29, 2024
Final Version Due Mar 25, 2024
Categories    artificial intelligence   natural language processing   knowledge representation   text mining
 

Call For Papers

** Important Dates **

Submission Deadline for Long Papers: January 31, 2024
Submission Deadline for Short Papers: January 31, 2024
Notification of Acceptance (Long+Short Papers): February 29, 2024
Camera-Ready due (Long+Short Papers): March 25, 2024
Workshop Date: May 28 - 31, 2024

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.

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.

We welcome and encourage the submission of high quality, original papers, which are not simultaneously submitted for publication elsewhere.

You can submit your paper at https://easychair.org/conferences/?conf=scidoca2024. 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.

Proceedings
Selected papers will be published as a proceedings via Springer Verlag "Lecture Notes in Artificial Intelligence" series.

Related Resources

ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
SCIDOCA 2023   Seventh International Workshop on SCIentific DOCument Analysis
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
JSAI-ISAI 2024   16th JSAI International Symposia on AI
ICDM 2024   24th Industrial Conference on Data Mining
ISSTA 2024   The ACM SIGSOFT International Symposium on Software Testing and Analysis (Round 1)
ICANN 2024   33rd International Conference on Artificial Neural Networks
IDA 2024   The 22nd International Symposium on Intelligent Data Analysis
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)
OMLMIA 2023   Optimization and Machine Learning in Medical Image Analysis