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Grant: Discovery Grants Program - Individual

University of Lethbridge

$15,000.00

Information delivery vehicule: text summarization and question answering

FY 2007-08

Summary
In today's information society, we have access to an enormous amount of information. Without appropriate thories, technologies, and tools to obtain the information we need in a clear and useful way, there is an ever increasing risk of information overload (or information fatigue), leading to poor information use and inefficiencies in decision-making. Information retrieval engines, text summarizers, and question answering systems provide complementary functionalities which can be combined to serve a variety of users, ranging from the casual user asking questions of the web to a sophisticated knowledge user. A particular useful complementarity exists between text summarization and question answering systems. From the viewpoint of summarization, question answering is a way to provide the focus for the query-based summarization. From the viewpoint of question answering, summarization is a way of extracting and fusing just the relevant information from a heap of text in answer to a specific question. I am interested in developing techniques for delivering information that is appropriate and relevant to the user, avoiding information overload and assisting informed decision making. This will lead to build up systems that capture the user needs and preferences and generate customized and personalized documents. This research proposal deals with ways in which summarization and question answering technologies can be combined to form truly useful information delivery tools. Based on our previous research experience, the purpose of this project is to design and build up tools at several increasingly sophisticated stages. I am planning to develop theories, technologies and tools to deliver to users information that is relevant and appropriate for the users receiving it, information that they can easily assimilate to enable them to perform their tasks, usually enabling better and more efficient decision-making.
Program
Discovery Grants Program - Individual
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
228139-2006
Name nom
Chali, Yllias
Department département
Mathematics & Computer Science
Organization id
12
Institution établissement
University of Lethbridge
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2006
Award amount
15000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
331
Committee name en
Computing and Information Sciences - B
Committee name fr
Informatique - B
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2801
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Natural language and speech understanding
Research subject fr
Langage naturel et reconnaissance de la parole
Partie
2
Nb partie
5
Application title
Information delivery vehicule: text summarization and question answering
Keyword
NA
Application summary
In today's information society, we have access to an enormous amount of information. Without appropriate thories, technologies, and tools to obtain the information we need in a clear and useful way, there is an ever increasing risk of information overload (or information fatigue), leading to poor information use and inefficiencies in decision-making. Information retrieval engines, text summarizers, and question answering systems provide complementary functionalities which can be combined to serve a variety of users, ranging from the casual user asking questions of the web to a sophisticated knowledge user. A particular useful complementarity exists between text summarization and question answering systems. From the viewpoint of summarization, question answering is a way to provide the focus for the query-based summarization. From the viewpoint of question answering, summarization is a way of extracting and fusing just the relevant information from a heap of text in answer to a specific question. I am interested in developing techniques for delivering information that is appropriate and relevant to the user, avoiding information overload and assisting informed decision making. This will lead to build up systems that capture the user needs and preferences and generate customized and personalized documents. This research proposal deals with ways in which summarization and question answering technologies can be combined to form truly useful information delivery tools. Based on our previous research experience, the purpose of this project is to design and build up tools at several increasingly sophisticated stages. I am planning to develop theories, technologies and tools to deliver to users information that is relevant and appropriate for the users receiving it, information that they can easily assimilate to enable them to perform their tasks, usually enabling better and more efficient decision-making.