Using LSA for Automatically Assessing Free Texts

To evaluate the content of free texts is a challenging task for human. Latent Semantic Analysis (LSA) can be used to automate this process. ShirWin Knowledge and Learning Systems Inc. is currently considering two instances of “free texts” assessment problems, one is automatic essay grading and the other is fact verification in a virtual learning environment . Both problems involve understanding the inner meaning of the free texts which can be successfully accomplished by using the LSA technique. The main objective of the proposed project is to verify the effectiveness of the LSA technology and conduct extensive experiments to provide solutions for the two problems. The performance of the LSA

models will be evaluated by measuring their correlation with the human-graded essays where better correlation will denote better effectiveness of the LSA technology.

Faculty Supervisor:

Yllias Chali

Student:

Partner:

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Lethbridge

Program:

Accelerate