Finding discourse relations in student essays

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Authors:
  • Rohana Mahmud
  • Allan Ramsay

Abstract

The aim of the work reported here is to provide a tool to help secondary school (high school) age students to reflect on the structure of their essays. Numerous tools are available to help students check their spelling and grammar. Very little, however, has been done to help them with higher level problems in their texts. In order to do this, we need to be able to analyse the discourse relations within their texts. This is particularly problematic for texts of this kind, since they contain few instances of explicit discourse markers such as 'however', 'moreover', 'therefore'. The situation is made worse by the fact that many texts produced by such students contain large numbers of spelling and grammatical errors, thus making linguistic analysis extremely challenging. The current paper reports on a number of experiments in classification of the discourse relations in such essays. The work explores the use of machine learning techniques to identify such relations in unseen essays, using a corpus of manually annotated essays as a training set. © Springer-Verlag Berlin Heidelberg 2005.

Bibliographical metadata

Original languageEnglish
Title of host publicationLecture Notes in Computer Science|Lect. Notes Comput. Sci.
EditorsA. Gelbukh
Pages116-119
Number of pages3
Volume3406
Publication statusPublished - 2005
Event6th International Conference, CICLing 2005 - Mexico City
Event duration: 1 Jul 2005 → …

Conference

Conference6th International Conference, CICLing 2005
CityMexico City
Period1/07/05 → …