Towards an academic abstract sentence classification system

Connor Stead, Stephen Smith, Peter Busch, Savanid Vatanasakdakul

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


This research in progress paper introduces a novel academic abstract sentence classification system intended to improve researcher literature discovery efficiency. The system provides three key functions: 1) displays abstracts with visual identification of each sentence’s indicated literature characteristic class, 2) conversion of unstructured abstracts into structured variants and 3) categorised class sentence extraction available for export to CSV alongside literature metadata. This functionality is made possible by a web application connected to a Python instance via PHP, integration with an open access literature index via an API and a deployed academic abstract sentence classification model. The contribution of the proposed system is its ability to enhance researcher literature discovery. This paper provides context and motivation behind the development of the system, outlines its functionality and provides an outlook for future research.
Original languageEnglish
Title of host publicationResearch Challenges in Information Science
Subtitle of host publication14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings
EditorsFabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages7
ISBN (Electronic)9783030503161
ISBN (Print)9783030503154
Publication statusPublished - 2020
Event14th International Conference on Research Challenges in Information Science - Limassol, Cyprus, Limassol, Cyprus
Duration: 20 May 202022 May 2020

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356


Conference14th International Conference on Research Challenges in Information Science
Abbreviated titleRCIS 2020
Internet address


  • Abstracts
  • literature discovery
  • academic abstract sentence classification


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