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WOSP 2018 : 7th International Workshop on Mining Scientific Publications | |||||||||||||||
Link: https://wosp.core.ac.uk/lrec2018/ | |||||||||||||||
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Call For Papers | |||||||||||||||
You are invited to participate in the upcoming 7th International Workshop on Mining Scientific Publications (WOSP 2018) to be held in conjunction with the 2018 Language Resources and Evaluation Conference (LREC 2018) on May 7, 2018 in Miyazaki, Japan.
The submission deadline is Wednesday, March 14, 2018. Call for papers: May 7, 2018 – Miyazaki, Japan Workshop page: https://wosp.core.ac.uk/lrec2018/ Conference page: http://lrec2018.lrec-conf.org/en/ Twitter: https://twitter.com/wospworkshop 1. 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. 2. TOPICS 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. 3. SPECIAL OPEN PUBLICATIONS DATASET TRACK This year we would like to invite the workshop participants to make use of the CORE publications dataset containing over 8 million full texts of research papers from a wide variety of research areas. The dataset contains not only full-texts, but also an enriched version of publications’ metadata. This dataset provides a framework for developing and testing methods and tools addressing the workshop topics. The use of this dataset is not mandatory; however, it is encouraged. The dataset is available through the CORE portal: http://core.ac.uk/intro/data_dumps In addition to offering the dataset we are also considering to run a shared task involving the use of the OpenMinTeD infrastructure for mining scientific papers. 4. SUBMISSION FORMAT We invite submissions related to the workshop’s topics. Long papers should not exceed 8 pages and short papers should not exceed 4 pages of the LREC 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. All submissions will be uploaded to the START system for a peer-review. The LREC proceedings template can be found on the LREC website: http://lrec2018.lrec-conf.org/en/submission/authors-kit/. Papers should be submitted using the START system at https://www.softconf.com/lrec2018/WOSP/. 5. IMPORTANT DATES Wednesday, March 14, 11:59 (Hawaii time) -- New submission deadline Saturday, April 7 -- Notification of acceptance Saturday, April 21 -- Camera-ready Monday, May 7 -- Workshop The dates are at this stage indicative only and can change. 6. KEYNOTE SPEAKERS Horacio Saggion, Universitat Pompeu Fabra, Spain 7. ORGANISING COMMITTEE Petr Knoth, Knowledge Media institute, The Open University, UK Drahomira Herrmannova, Oak Ridge National Laboratory, USA Richard Eckart de Castilho, Technische Universität Darmstadt, Germany 8. PROGRAMME COMMITTEE Iana Atanassova, Université de Bourgogne Franche-Comté, France Joeran Beel, Trinity College, University of Dublin, Ireland Marc Bertin, Université Claude Bernard Lyon 1, France Debsindhu Bhowmik, Oak Ridge National Laboratory, USA Johan Bollen, Indiana University, USA José Borbinha, Universidade de Lisboa, Portugal Tanmoy Chakraborty, University of Maryland, USA Daniel Duma, Alan Turing Institute, UK Shang Gao, Oak Ridge National Laboratory, USA Stephen Gilbert, Iowa State University, USA C. Lee Giles, Pennsylvania State University, USA Christopher G. Harris, SUNY Oswego, USA Saeed Ul Hassan, Information Technology University, Pakistan Monica Ihli, University of Tennessee, USA Antoine Isaac, Europeana, The Netherlands Roman Kern, Graz University of Technology, Austria Martin Klein, Los Alamos National Laboratory, USA Birger Larsen, Aalborg University Copenhagen, Denmark Paolo Manghi, Italian National Research Council, Italy Bruno Martins, Universidade de Lisboa, Portugal Philipp Mayr, GESIS Leibniz Institute for the Social Sciences, Germany Peter Mutschke, GESIS Leibniz Institute for the Social Sciences, Germany Francesco Osborne, The Open University, UK Robert M. Patton, Oak Ridge National Laboratory, USA Eloy Rodrigues, Universidade do Minho, Portugal Angelo Antonio Salatino, The Open University, UK Pavel Smrz, Brno University of Technology, Czech Republic Christopher G. Stahl, Oak Ridge National Laboratory, USA Wojtek Sylwestrzak, University of Warsaw, Poland Dominika Tkaczyk, Trinity College Dublin, Ireland Ziqi Zhang, Nottingham Trent University, UK |
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