LEA: A Summarization Web Environment Based on Human Instructors' Behaviour

Abstract

This paper presents LEA a Web application for summarization exercise development. Appropriate for learners on different summarization ability levels as well as for various learning domains. The summarization environment provides edition facilities and aid tools to support learning. It assists during the summarization task and performs automatic assessment. The automatic summary grading process is based on expert performance, to emulate the evaluation behaviour underneath. Expert criterion is represented by a grading decision making model. In addition, discourse analysis and comprehension measures are modelled by means of natural language processing (NLP) techniques and latent semantic analysis (LSA).