OpenMinTeD: A Platform Facilitating Text Mining of Scholarly Content

Labropoulou, Penny; Galanis, Dimitrios; Lempesis, Antonis; Greenwood, Mark; Knoth, Petr; Eckart de Castilho, Richard; Sachtouris, Stavros; Georgantopoulos, Byron; Anastasiou, Lucas; Martziou, Stefania; Katerina, Gkirtzou; Manola, Natalia and Piperidis, Stelios (2018). OpenMinTeD: A Platform Facilitating Text Mining of Scholarly Content. In: WOSP 2018 Workshop Proceedings, European Language Resources Association (ELRA), Luxemburg.

URL: http://lrec-conf.org/workshops/lrec2018/W24/pdf/13...

Abstract

The OpenMinTeD platform aims to bring full text Open Access scholarly content from a wide range of providers together with Text and Data Mining (TDM) tools from various Natural Language Processing frameworks and TDM developers in an integrated environment. In this way, it supports users who want to mine scientific literature with easy access to relevant content and allows running scalable TDM workflows in the cloud.

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About

• Item ORO ID
• 55790
• Item Type
• Conference or Workshop Item
• ISBN
• 979-1-09-554620-7
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  OpenMinTeD	Not Set	EC inc.H2020&ERC European Commission: FP (inc.Horizon2020 & ERC schemes)

• Extra Information
• Held as a workshop at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
• Keywords
• text mining; open access; corpora; natural language processing; scholarly content; CORE
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Big Scientific Data and Text Analytics Group (BSDTAG)
• Copyright Holders
• © 2018 EuropeanLanguage Resources Association
• Related URLs
• • http://lrec2018.lrec-conf.org/en/(Other)
  • https://wosp.core.ac.uk/lrec2018/(Other)
• Depositing User
• Lucas Anastasiou