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WOSP 2020 : 8th International Workshop on Mining Scientific Publications | Submission deadline extension and online event announcement

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Link: https://wosp.core.ac.uk/jcdl2020/
 
When Aug 4, 2020 - Aug 5, 2020
Where Online
Submission Deadline Jul 5, 2020
Notification Due Jul 26, 2020
Final Version Due Aug 2, 2020
Categories    text-mining   data-mining   digital libraries   scholarly publications
 

Call For Papers

Following JCDL’s decision to move the conference online (see http://2020.jcdl.org/ for details), WOSP 2020 will also be a fully online event. To accommodate this change, we are adjusting the schedule and the format of the workshop:

* The new submission deadline for the workshop is Sunday, July 5.
* Our 3C Citation Context Classification Shared Task has been moved to Kaggle
* Influence classification: https://www.kaggle.com/c/3c-shared-task-influence/overview
* Purpose classification: https://www.kaggle.com/c/3c-shared-task-purpose/overview
* We are working on moving our subject classification shared task to Kaggle, a link will be posted soon on our website.
* The workshop will take place on August 4 or 5, pending the announcement of the JCDL programme.

For more details, please see the detailed CFP below, have a look at our website (https://wosp.core.ac.uk/jcdl2020/) or contact us with any questions at wospworkshop@googlegroups.com.

Call for papers:

August 4th or 5th, 2020 – online

Workshop page: https://wosp.core.ac.uk/jcdl2020/
Conference page: https://2020.jcdl.org/
Twitter: https://twitter.com/wospworkshop
Kaggle page for 3C shared task -- influence classification: https://www.kaggle.com/c/3c-shared-task-influence/overview
Kaggle page for 3C shared task -- purpose classification: https://www.kaggle.com/c/3c-shared-task-purpose/overview

** INTRODUCTION **

The entire body of research literature is currently estimated at 100-150 million publications with an annual increase of around 1.5 million. Research literature constitutes the most complete representation of knowledge we have assembled as human species. It enables us to develop cures to diseases, solve difficult engineering problems and answer many of the world’s challenges we are facing today. Systematically reading and analysing the full body of knowledge is now beyond the capacities of any human being. Consequently, it is important to better understand how we can leverage Natural Language Processing/Text Mining techniques to aid knowledge creation and improve the process by which research is being done.

This workshop aims to bring together people from different backgrounds who:
(a) have experience with analysing and mining databases of scientific publications,
(b) develop systems that enable such analysis and mining of scientific databases (especially those who publication databases) or
(c) who develop novel technologies that improve the way research is being done.

** RESEARCH TRACK **

The topics of the workshop will be organised around the following themes:

1. The whole ecosystem of infrastructures including repositories, aggregators, text-and data-mining facilities, impact monitoring tools, datasets, services and APIs that enable analysis of large volumes of scientific publications.
2. Semantic enrichment of scientific publications by means of text and data mining.
3. Analysis of large databases of scientific publications to identify research trends, high impact and improve access to research content.

** SHARED TASK TRACK **

This year we would like to invite the workshop participants to take part in two special Shared Tasks.

'3C' Citation Context Classification Task

We are extremely excited to introduce the new Citation Context Classification '3C' task which will require teams to build models for the classification of citations according to purpose and influence. We have released a brand new dataset for training and test purposes via Kaggle. All teams of all levels are welcome to submit their entries. To register for the task, download the data, and submit your entries, please see our Kaggle pages:

* Influence classification: https://www.kaggle.com/c/3c-shared-task-influence/overview
* Purpose classification: https://www.kaggle.com/c/3c-shared-task-purpose/overview

Subject Classification Shared Task

We are also excited to announce a shared task on subject area classification. This task will require teams to build models that identify which subject area publications fall into. This challenge will use expert-curated dataset. We are currently working on moving this challenge to Kaggle and will share relevant information via our website shortly.

For more information about the shared tasks, please see the workshop website: https://wosp.core.ac.uk/jcdl2020/shared_task.html

Registration and submission: To download the task data and submit your solutions, please use the Kaggle website linked above. The final submission of source code and solution description should be done using EasyChair: https://easychair.org/conferences/?conf=wosp2020. For detailed instructions, please see the workshop website.

** SUBMISSION INFORMATION **

We invite submissions related to the workshop’s topics. Long papers should not exceed 10 pages and short papers should not exceed 4 pages in the JCDL (ACM) style. Furthermore, we welcome demo presentations of systems or methods. A demonstration submission should consist of a maximum two-page description of the system, method or tool to be demonstrated.

The ACM proceedings template can be found here http://www.acm.org/publications/proceedings-template. Papers should be submitted using https://easychair.org/conferences/?conf=wosp2020.

** IMPORTANT DATES **

Sunday, July 5 -- Paper and Shared task submission deadline
Sunday, July 26 -- Acceptance notification and Shared Task results release
Sunday, August 2nd -- Camera-Ready
Tuesday, August 4th or Wednesday, August 5th -- Workshop

The dates are at this stage indicative only and can change.

** ORGANISING COMMITTEE **

Petr Knoth, Knowledge Media Institute, The Open University, UK
Christopher Stahl, Oak Ridge National Laboratory, USA
Bikash Gyawali, Knowledge Media Institute, The Open University, UK
David Pride, Knowledge Media Institute, The Open University, UK
Drahomira Herrmannova, Oak Ridge National Laboratory, USA

** RELATED WORKSHOPS ***

If you can’t make it to WOSP 2020, these sister workshops may be of interest to you:

1st Workshop on Scholarly Document Processing @ EMNLP 2020: https://ornlcda.github.io/SDProc/
1st Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents @ JCDL 2020: https://eeke2020.github.io/

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