Generating multiple summaries based on computational model of perspective

Every story about an event offers a unique perspective about the event. A popular sporting event, such as a Major League Baseball game, is followed by several summary articles that show different points of view. The goal of this research is to build a computational model of perspective and build a system for automatically generating multiple summary articles showing different perspectives. My approach is to take a neutral summary article, reorder the content of that summary based on event features extracted from the description of the game, and produce two new summaries showing the local team perspectives. I will present an initial user survey that validated the hypothesis that content ordering has a significant effect on the users' perception of perspective. I will also discuss collecting and analyzing a parallel corpus of baseball game data and summary articles showing local team perspectives. I will then describe the reordering algorithm, the implementation of the system, and a user study to evaluate the output of the system.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2008

Author dc:creator

• Oh, Alice H

Advisor dc:contributor.advisor

• Howard Schrobe.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/45865

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/45865