Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/78124
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2021-07-08T07:18:54Z | - |
dc.date.available | 2021-07-08T07:18:54Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | Galea, A. (2004). MaltQA: an open-domain question answering system (Master's dissertation). | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/78124 | - |
dc.description | M.SC.COMPUTER SCIENCE | en_GB |
dc.description.abstract | This dissertation considers a surface-based question answering system for an open-domain solution. Its main purpose is to provide a question answering system for education purposes but the solution proposed has wider applications. This document analyzes the current progress that has been done in this area so far, and describes a methodology for answering questions by using infom1ation retrieved from very large collections of text. The solution proposed is based on indexing techniques and surface based natural language processing that identify paragraphs from which an answer can be extracted. The MaltQA system that is presented in this document contains some innovative ideas in improving the accuracy of QA systems. These include an FAQ module that is able to identify similar questions that have been asked before, an acronym dictionary, a question classifier module that is based on the Winnow algorithm and an answer extraction algorithm that achieves a good accuracy when applied both on locally indexed and web documents. The approach presented here will not solve all the problems associated with question answering, but has the objective to provide a solution that is feasible, achieves reasonable accuracy and can return an answer in an acceptable time limit. Various techniques are discussed including question analysis, question reformulation, term extraction, answer extraction and other methods for answer pinpointing. The lessons learned during the development of MaltQA are presented and future enhancements are identified on how to improve the system even further. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Question-answering systems | en_GB |
dc.subject | Natural language processing (Computer science) | en_GB |
dc.title | MaltQA : an open-domain question answering system | en_GB |
dc.type | masterThesis | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.publisher.institution | University of Malta | en_GB |
dc.publisher.department | Faculty of Information and Communication Technology. Department of Computer Science | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.contributor.creator | Galea, Aaron (2004) | - |
Appears in Collections: | Dissertations - FacICT - 1999-2009 Dissertations - FacICTCS - 1999-2007 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
M.SC.COMPUTER SCIENCE_Galea_Aaron_2004.pdf Restricted Access | 4.7 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.