The Open UniversitySkip to content

ACT: An Annotation Platform for Citation Typing at Scale (JCDL Poster Presentation)

Pride, David; Harag, Jozef and Knoth, Petr (2019). ACT: An Annotation Platform for Citation Typing at Scale (JCDL Poster Presentation). In: JCDL 2019 - ACM/IEEE-CS Joint Conference on Digital Libraries 2019, 2-6 Jun 2019, Urbana-Champaign, Illinois.

Full text available as:
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview
Google Scholar: Look up in Google Scholar


In this paper we introduce the Academic Citation Typing (ACT) Platform, a highly scalable online tool that takes as its input any full text research paper and which then enables rapid annotation and classi cation of in-text citations according to purpose and in uence. In contrast to previous work, we employ rst authors as annotators. Our evaluation shows that these authors are able to quickly classify the citations within their own papers. Over 200 authors have thus far annotated their papers using the ACT platform. This approach has already enabled the collection of the largest dataset of citations annotated according to their purposes and in uence on the citing paper. Furthermore, this process is ongoing and the dataset will continue to expand following this initial phase.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
JIsc Digital Services - CORENot SetJISC (Joint Information Systems Committee)
Academic Unit/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)
Related URLs:
Item ID: 61631
Depositing User: David Pride
Date Deposited: 10 Jun 2019 08:56
Last Modified: 18 Jun 2019 05:01
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU