Login | Register

Profiling for belief acquisition from reported speech


Profiling for belief acquisition from reported speech

Doandes, Monia (2003) Profiling for belief acquisition from reported speech. Masters thesis, Concordia University.

[thumbnail of MQ77710.pdf]
Text (application/pdf)


We are in the Internet era. Now, more than ever, there is an excessive amount of documents available online, making it harder and harder to find the ones that are relevant to our searches. The new systems, which use belief models to improve the understanding of what the user really wants, need a practical text representation model that can make the extraction of beliefs easier. Profiling is an appropriate method for creating such a text representation. In this thesis we develop the details for a process of building basic profiles from reported speech in newspaper articles . This process recognizes and extracts reported speech, and determines the internal structure of reported speech clauses, fitting it within basic profile frames. In order to accomplish this, three building blocks are used: recognition of reporting verbs, punctuation analysis and the structure of the reported speech . We implemented a fully automated system which extracts basic profiles and analyzes them, differentiating between circumstantial information and primary information. Inside the primary information, a differentiation is made between direct quotes and paraphrases. The source, reporting verb and other circumstantial information are extracted. The reporting verb is analyzed, determining its tense, aspect, modality, mood, voice and polarity. The semantic dimensions of the reporting verb are also analyzed, paving the path for a future belief analysis based on reporting verbs.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Doandes, Monia
Pagination:ix, 136 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science and Software Engineering
Thesis Supervisor(s):Bergler, Sabine
Identification Number:P 98 D63 2003
ID Code:2068
Deposited By: Concordia University Library
Deposited On:27 Aug 2009 17:24
Last Modified:13 Jul 2020 19:51
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top