Date of Award

Spring 2022

Project Type

Thesis

Program or Major

Computer Science

Degree Name

Master of Science

First Advisor

Laura Dietz

Second Advisor

Marek Petrik

Third Advisor

Elizabeth Varki

Abstract

Information Retrieval is, at its core, a field focused on providing information to users to fulfill an information need. One of the most common use cases of Information Retrieval is document-level retrieval, which seeks to provide a collection of documents to the user that addresses their needs. In contrast to this, single document retrieval seeks to instead provide the user with a single document comprised of all required information. We seek to extend single document retrieval to single document generation, in which we use multiple source documents to create a new document which directly addresses the information need.

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