HOME NEWS RESEARCH PROJECTS TECHNOLOGIES PEOPLE PUBLICATIONS SEMINARS CAREERS FULL SEMINAR DETAILS Ms Suchetha Kunnath Citation Classification for Research Evaluation This event took place on Thursday 17 December 2020 at 11:30 Analysing citations has several applications, one of the most important being research evaluation. Traditional use of citation counts alone as an indicator for measuring the scientific impact has severe flaws and has been subject to disapproval from the research community. To mitigate the problems caused by earlier approaches and to incorporate the qualitative aspects in bibliometric analysis, new methods using citation context analysis were explored by researchers. Rather than manually examining the text, automated methods using Machine Learning and Natural Language Processing (NLP) can be employed for analysing the sentences surrounding the citation for understanding the reasons for citing a paper. This presentation covers the challenges involved in citation classification, existing methods used by researchers and findings from the first 3C Citation Context Classification shared task, organised as part of the 8th International Workshop on Mining Scientific Publications (WOSP), 2020. Apologies this event has been postponed to the 17 Dec 2020 Watch the webcast replay >> SEARCH SEMINARS VIEW BY Future Events Past Events Prof. Viola Schiaffonati Politecnico di Milano Computers, robots, and experiments Dec 2nd | 11am - noon (GMT) SOCIALLY RESPONSIBLE RESEARCH COP26 GREEN ZONE Ancient Knowledge and Modern Thinking: Climate Perspectives in Folk Art Sunday 7th November 1-2:30pm TWEETS @oacore27m Did #research stop with #COVID? Attend and see what we can discover using the new CORE #API on January 13th 2022 @… https://t.co/xVhThmWXxt @enridaga02 Dec Announce! We have a new release of SPARQL Anything -- v0.5.0 https://t.co/iNeR2HsETS Credits @LguSpree… https://t.co/yy05YFaMpR @HERoS_EU02 Dec Using data collected by the @fc_observatory, we analysed hashtags used in the biographies of 265 948 users who shar… https://t.co/vD4sLHVFj9 @HERoS_EU29 Nov An interactive 🗺️ application by @kmiou and the Space Research Center - Polish Academy of Sciences presents the dat… https://t.co/PUYrzhjAPz @enridaga26 Nov @richdijkstra @PolifoniaH2020 @SpiceH2020 @kmiou @isdsou @stlab_cnr @LguSpree @thejustman Thank you! @richdijkstra26 Nov @enridaga @PolifoniaH2020 @SpiceH2020 @kmiou @isdsou @stlab_cnr @LguSpree @thejustman Great initiative with a lot of potential. @thejustman25 Nov @enridaga @PolifoniaH2020 @SpiceH2020 @kmiou @isdsou @stlab_cnr @LguSpree I'm preparing for my next blog post: usin… https://t.co/EahMBaK01N @enridaga25 Nov First 100 issues closed. SPARQL Anything is growing fast ;) https://t.co/HZVdOFOmT5 We're preparing the next rele… https://t.co/5bOMTs91Dg View All Twitter Activity MILTON KEYNES COVID-19 DATA AWARDS KNOWLEDGE MAKERS KMi Home Job Vacancies Studentships Visitors KMi Review Find Us Diversity LGBTQ+ History International Women's Day 2021 Accessibility Privacy and Cookies 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 We have placed cookies on your computer to help make this website better. We use a Google Analytics script which sets cookies. More details can be found in our privacy policy.