This research presented in this book is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers of each question. In fact, to achieve this objective, an approach, which applies Web page segmentation to detect Q/A –Question and Answer-units along with the use of some selective statistical sentence extraction features for summary generation, is proposed. In conclusion, it was found that our approach performs much better than its competitive commercial summarization tool. In fact, the overall average scores for all pages examined indicate that it is superior to the other system by approximately 20% which seems to be quite promising. In addition, the overall average for all pages indicates statistical significant improvements for our approach in 62% of the cases. Moreover, considering human evaluators, it was found out that the average improvement for all evaluators is in favor of our new approach by approximately 26.3 %.
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This research presented in this book is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers of each question. In fact, to achieve this objective, an approach, which applies Web page segmentation to detect Q/A -Question and Answer-units along with the use of some selective statistical sentence extraction features for summary generation, is proposed. In conclusion, it was found that our approach performs much better than its competitive commercial summarization tool. In fact, the overall average scores for all pages examined indicate that it is superior to the other system by approximately 20% which seems to be quite promising. In addition, the overall average for all pages indicates statistical significant improvements for our approach in 62% of the cases. Moreover, considering human evaluators, it was found out that the average improvement for all evaluators is in favor of our new approach by approximately 26.3 %.
Yassien Shaalan is a Senior Software Engineer at Applied Science International. He obtained his Master degree in Computer Science from the American University in Cairo while his Bachelor in Computer Engineering from Cairo University. His research interests include Artificial intelligence, Natural Language Processing, Automatic Text Summarization.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research presented in this book is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers of each question. In fact, to achieve this objective, an approach, which applies Web page segmentation to detect Q/A Question and Answer-units along with the use of some selective statistical sentence extraction features for summary generation, is proposed. In conclusion, it was found that our approach performs much better than its competitive commercial summarization tool. In fact, the overall average scores for all pages examined indicate that it is superior to the other system by approximately 20% which seems to be quite promising. In addition, the overall average for all pages indicates statistical significant improvements for our approach in 62% of the cases. Moreover, considering human evaluators, it was found out that the average improvement for all evaluators is in favor of our new approach by approximately 26.3 %. 176 pp. Englisch. Nº de ref. del artículo: 9783848413140
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research presented in this book is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers of each question. In fact, to achieve this objective, an approach, which applies Web page segmentation to detect Q/A Question and Answer-units along with the use of some selective statistical sentence extraction features for summary generation, is proposed. In conclusion, it was found that our approach performs much better than its competitive commercial summarization tool. In fact, the overall average scores for all pages examined indicate that it is superior to the other system by approximately 20% which seems to be quite promising. In addition, the overall average for all pages indicates statistical significant improvements for our approach in 62% of the cases. Moreover, considering human evaluators, it was found out that the average improvement for all evaluators is in favor of our new approach by approximately 26.3 %. Nº de ref. del artículo: 9783848413140
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research presented in this book is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers of each question. In fact, to achieve this objective, an approach, which applies Web page segmentation to detect Q/A -Question and Answer-units along with the use of some selective statistical sentence extraction features for summary generation, is proposed. In conclusion, it was found that our approach performs much better than its competitive commercial summarization tool. In fact, the overall average scores for all pages examined indicate that it is superior to the other system by approximately 20% which seems to be quite promising. In addition, the overall average for all pages indicates statistical significant improvements for our approach in 62% of the cases. Moreover, considering human evaluators, it was found out that the average improvement for all evaluators is in favor of our new approach by approximately 26.3 %.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Nº de ref. del artículo: 9783848413140
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Automatic Text Summarization of Frequently Asked Questions Web Pages | Summarizing FAQs No Easier | Yassien Shaalan | Taschenbuch | 176 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848413140 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106603581
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Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA79638484131406
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