This paper reports initial work on developing a method for automatic construction of multi-document summaries of sets of domain-specific dissertation abstracts. A variable-based framework for multi-document summarization of dissertation abstracts in the field of sociology and psychology that makes use of the macro-level and micro-level discourse structure of dissertation abstracts as well as cross-document structure is proposed. The micro-level structure of problem statements found in a sample of 50 dissertation abstracts was analyzed, and the common features found are described. A list of indicator phrases that denote different aspects of the problem statements is provided.Published versio
Automatic multi-document summarization aims at selecting the essential content of related documents ...
Purpose ��� The purpose of this research is to develop a method for automatic construction of multi-...
In this study, we investigated the use of decision tree induction to parse the macro-level discourse...
This study was in the area of automatic multi-document summarization. The objective of this study wa...
The purpose of this study was to develop a method for automatic construction of multi-document summa...
The purpose of this study was to develop a method for automatic construction of multidocument summar...
This paper describes a new concept-based multi-document summarization system that employs discourse ...
This paper reports the design and evaluation of a method for summarizing a set of related research a...
With the rapid growth of the World Wide Web and online information services, more and more informati...
Abstract. This paper presents a methodology for summarization from multiple documents which are abou...
The study was to develop a method for automatic summarization of sets of related research abstracts....
An interactive information retrieval system that pro-vides different types of summaries of retrieved...
The research on document summarization has been becoming attractive and important because of the exp...
Problem statement: Text summarization can be of different nature ranging from indicative summary tha...
We present a comparative study of abstracts and machine-generated summaries. This study bridges two ...
Automatic multi-document summarization aims at selecting the essential content of related documents ...
Purpose ��� The purpose of this research is to develop a method for automatic construction of multi-...
In this study, we investigated the use of decision tree induction to parse the macro-level discourse...
This study was in the area of automatic multi-document summarization. The objective of this study wa...
The purpose of this study was to develop a method for automatic construction of multi-document summa...
The purpose of this study was to develop a method for automatic construction of multidocument summar...
This paper describes a new concept-based multi-document summarization system that employs discourse ...
This paper reports the design and evaluation of a method for summarizing a set of related research a...
With the rapid growth of the World Wide Web and online information services, more and more informati...
Abstract. This paper presents a methodology for summarization from multiple documents which are abou...
The study was to develop a method for automatic summarization of sets of related research abstracts....
An interactive information retrieval system that pro-vides different types of summaries of retrieved...
The research on document summarization has been becoming attractive and important because of the exp...
Problem statement: Text summarization can be of different nature ranging from indicative summary tha...
We present a comparative study of abstracts and machine-generated summaries. This study bridges two ...
Automatic multi-document summarization aims at selecting the essential content of related documents ...
Purpose ��� The purpose of this research is to develop a method for automatic construction of multi-...
In this study, we investigated the use of decision tree induction to parse the macro-level discourse...