Skip to main content
  • About
  • Resources
  • Events
  • Courses
  • News
    Sign in Register
Text-mining methods used for information extraction in plant scientific papers Part 6
FOSTER logo

Presentation of Text-mining methods used for information extraction in plant scientific papers
Part 6 : Information extraction evaluation


Preview


Similar resources

Open Access for Books - Closing the Loop
Tutorial : Legal and ethical considerations for sharing research data (clip)
Tutorial : TDM and Machine Readability of Open Access research
Tutorial : TDM and Machine Readability of Open Access research
Introduction to RDM concepts and tools
Les enjeux de l'open access
Les posters open access
Introduction to the OpenMinTeD platform
Download Original
Download Text
Download PDF
Download EPUB
Authors: Estelle Chaix
Publication year: 2017
Language: English (EN)
Level of knowledge: Introductory: aware of
Usage rights:

Attribution - CC-BY

Topics

Open Access Definition
Text And Data Mining
Knowledge Acquisition
Information Extraction

Audience

Researchers and Students

Related Resources

Text-mining methods used for information extraction in plant scientific papers Part 1
Text-mining methods used for information extraction in plant scientific papers Part 2
Text-mining methods used for information extraction in plant scientific papers Part 3
Text-mining methods used for information extraction in plant scientific papers Part 4
Text-mining methods used for information extraction in plant scientific papers Part 5

Share

  • 'Share on Twitter'
Home   About   News   Contact   Bootcamp   Trainers Directory Privacy Policy   Accessibility  

Creative Commons badge Unless otherwise stated, all materials created by the FOSTER consortium are licensed under a CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE.



EU flag This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425.
This project has also received funding from the European Union's Horizon2020 programme for research, technological development and demonstration under agreement no 741839.