This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be included in a queryfocused summary. Several SVMs are trained using information from pyramids of summary content units. Their performance is compared with the best performing systems in DUC-2005, using both ROUGE and autoPan, an automatic scoring method for pyramid evaluation.Peer Reviewe
This paper addresses a support vector machine model for text summarization problem. First, we formul...
Ranked accuracies from the support vector machine analysis described in the paper for all of the cla...
Text categorization is the process of grouping documents or words into predefined categories. Each ...
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be in...
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be in...
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be in...
Evaluating the selection of content in a summary is important both for human-written summaries, whic...
Document summarization is needed to get the information effectively and efficiently. One method used...
Summarization is the process of creating a more compact textual representation of a document or a co...
Most existing research on applying machine learning techniques to document summarization explores ei...
Most existing research on applying machine learning techniques to document summarization explores ei...
The manual Pyramid method for summary evaluation, which focuses on the task of determining if a summ...
The manual Pyramid method for summary evaluation, which focuses on the task of determining if a su...
In this paper we describe our participation in task 1-very short single-document summaries in DUC 20...
ABSTRACT This paper aims to identify the current state of the art of the latest research related to...
This paper addresses a support vector machine model for text summarization problem. First, we formul...
Ranked accuracies from the support vector machine analysis described in the paper for all of the cla...
Text categorization is the process of grouping documents or words into predefined categories. Each ...
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be in...
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be in...
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be in...
Evaluating the selection of content in a summary is important both for human-written summaries, whic...
Document summarization is needed to get the information effectively and efficiently. One method used...
Summarization is the process of creating a more compact textual representation of a document or a co...
Most existing research on applying machine learning techniques to document summarization explores ei...
Most existing research on applying machine learning techniques to document summarization explores ei...
The manual Pyramid method for summary evaluation, which focuses on the task of determining if a summ...
The manual Pyramid method for summary evaluation, which focuses on the task of determining if a su...
In this paper we describe our participation in task 1-very short single-document summaries in DUC 20...
ABSTRACT This paper aims to identify the current state of the art of the latest research related to...
This paper addresses a support vector machine model for text summarization problem. First, we formul...
Ranked accuracies from the support vector machine analysis described in the paper for all of the cla...
Text categorization is the process of grouping documents or words into predefined categories. Each ...
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