Assisting Students in Writing by Examining How Their Ideas Are Connected

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 292)


Research proposal writing is an arduous process for students and instructors. The proposal must comply with requirements of academic guidelines, and is transformed into a thesis in some cases after several revisions by an adviser. In this paper we present an analyzer to identify the flow of concepts within proposal drafts, with the goal of aiding students to improve their drafting. We propose some novel methods integrated into our analyzer, which were designed considering the transitions of grammar constituents in Problem Statement, Justification and Conclusions sections. We performed experiments on corpora and we could identify anomalous paragraphs. In addition, our results show that graduate students produce better flow of conceptual sequences than undergraduate students.


Research proposal writing Draft Evaluation Entity Grid 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Davis, J., Liss, R.: Effective Academic Writing 3, The essay. Oxford University Press (2006)Google Scholar
  2. 2.
    Webber, B., Egg, M., Kordoni, V.: Discourse structure and language technology. Nat. Lang. Eng. 18, 437–490 (2011)CrossRefGoogle Scholar
  3. 3.
    O’Rourke, S., Calvo, R.: Analysing Semantic Flow in Academic Writing. In: Proceedings of the 2009 Conference on Artificial Intelligence in Education: Building Learning Systems that Care, pp. 173–180. IOS Press, Amsterdam (2009)Google Scholar
  4. 4.
    Barzilay, R., Lapata, M.: Modeling local coherence: An entity-based approach. Comput. Linguist. 34, 1–34 (2008)CrossRefGoogle Scholar
  5. 5.
    Pitler, E., Louis, A., Nenkova, A.: Automatic evaluation of linguistic quality in multi-document summarization. In: Proceedings of the 48th Annual Meeting of the Association for Comput. Linguist (ACL 2010), Stroudsburg, PA, USA, pp. 544–554 (2010)Google Scholar
  6. 6.
    Elsner, M., Charniak, M.: Disentangling chat with local coherence models. In: Proceedings of the 49th Annual Meeting of the Association for Comput. Linguist.: Human Language Technologies, Stroudsburg, PA, USA, vol. 1, pp. 1179–1189 (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.National Institute of Astrophysics, Optics and ElectronicsTonantzintlaMexico

Personalised recommendations