Full Seminar Details

David Pride

 David Pride
Incidental or influential: Challenges in automatic detection of citation importance
This event took place on Thursday 21 September 2017 at 11:30


This work looks in depth at several studies that have attempted to automate the process of citation importance classification based on the publications' full text. We analyse a range of features that have been previously used in this task. Our experimental results confirm that the number of in-text references are highly predictive of influence. Contrary to the work of Valenzuela et al. (2015) we find abstract similarity one of the most predictive features. Overall, we show that many of the features previously described in literature are not particularly predictive. Consequently, we discuss challenges and potential improvements in the classification pipeline, provide a critical review of the performance of individual features and address the importance of constructing a large scale gold-standard reference dataset.

Watch the webcast replay >>

Jobs

Research Assistant / Associate

Knowledge Media Institute (KMi)
£29,799 - £38,833
Based in Milton Keynes
Temporary contract until 31st December 2018

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). KMi is looking for a Research Assistant or a Research Associate to work on an EU funded...

Project Officer - Data Hub Development

Knowledge Media Institute (KMi)
£32,548 - £38,833
Based in Milton Keynes
Temporary contract until 30 June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). KMi is looking for a Project Officer to support the maintenance and evolution of the MK...

Web Developer (Front-end and CMS)

Knowledge Media Institute (KMi)
£26,495 - £31,604
Based in Milton Keynes
Temporary contract until 30 June 2018

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMI is looking for a Web Developer to join their team of developers and researchers...

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team