Date of Publication

8-16-2011

Document Type

Master's Thesis

Degree Name

Master of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Ethel Ong

Defense Panel Chair

Ethel Ong

Defense Panel Member

Rachel Editha Roxas
Merlin Teodosia Suarez

Abstract/Summary

Creative Natural Language Processing (NLP) aims to encompass and model the various aspects of understanding and human creativity in order to design computer systems that can mimic human creativity and provide an engaging interaction with humans. One topic under Creative NLP is Story Generation. As increasing ways of presenting stories are being realized, automatic generation of stories can then find applications in the field of Education and Entertainment. Several existing story generators have already been developed since the 1970s. The work presented here involved the development of an automated story generator that can create stories with both narratives and dialogues. Narratives are used in order to set the setting of the story, as well as to progress the story by defining the events in the story, while dialogues are used to present interactions between the characters, as well as deliver the concepts for vocabulary acquisition in the English Language, which serve as the domain of the stories by having the characters discuss about it. Results showed that the approach of mapping the dialogues to the Actions the characters perform as well as using utterance units to form the dialogues led to the production of stories that received an overall average rating of 2.68 out of 4. Linguists and story writers who manually evaluated 9 stories produced by the system gave an average score of 2.72 out of 4 for the overall quality of the stories, with grammatical aspects receiving an average score of 2.52 while the generated dialogues receiving an average score of 2.80.

Abstract Format

html

Language

English

Format

Electronic

Electronic File Format

MS WORD

Accession Number

CDTG005022

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

221 leaves : illustrations ; 1 computer optical disc 4 3/4 in.

Keywords

Natural language processing (Computer science); Dialogues

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Embargo Period

2-23-2022

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