This research aimed to improve search engine result summaries to help internet users make quick and accurate relevance judgements. Term Order and Query Term Order(QTO) algorithms were developed in order to produce better search engine result summaries. Six sentence weighting schemes were constructed in different weighting components combinations with the aim of comparing the effectiveness between QTO and Query Term Frequency (QTF). The literature on automatic summarisation evaluation is classified into intrinsically motivated Gold Standard/Baseline and Subjective Scoring evaluations, and extrinsically motivated Task Based evaluation. In order to triangulate evidence of the usefulness of the QTO algorithm, Document Understanding Conference data was used for intrinsic evaluation and online English web data was used for both intrinsic and extrinsic evaluations. The QTO summarisation system was compared against that of Google. Representativeness, Judgeability and Scanning-Speed were the three tasks in the evaluations, and the summary quality was derived from the measurements of the three tasks.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This research aimed to improve search engine result summaries to help internet users make quick and accurate relevance judgements. Term Order and Query Term Order(QTO) algorithms were developed in order to produce better search engine result summaries. Six sentence weighting schemes were constructed in different weighting components combinations with the aim of comparing the effectiveness between QTO and Query Term Frequency (QTF). The literature on automatic summarisation evaluation is classified into intrinsically motivated Gold Standard/Baseline and Subjective Scoring evaluations, and extrinsically motivated Task Based evaluation. In order to triangulate evidence of the usefulness of the QTO algorithm, Document Understanding Conference data was used for intrinsic evaluation and online English web data was used for both intrinsic and extrinsic evaluations. The QTO summarisation system was compared against that of Google. Representativeness, Judgeability and Scanning-Speed were the three tasks in the evaluations, and the summary quality was derived from the measurements of the three tasks.
I started my research in Automatic Summarisation with the Information Retrieval Research Group in the University of Sunderland. Then I was involved in Semantic Web research in the University of Southampton. Therefore, my research interests have been developed to explore web knowledge using Natural Language and Semantic Web techniques.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : moluna, Greven, Allemagne
Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Liang Shao FenI started my research in Automatic Summarisation with the nInformation Retrieval Research Group in the University ofnSunderland. Then I was involved in Semantic Web research in thenUniversity of Southampton. Therefore. N° de réf. du vendeur 4961922
Quantité disponible : Plus de 20 disponibles
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research aimed to improve search engine resultsummaries to help internet users make quick andaccurate relevance judgements. Term Order and QueryTerm Order(QTO) algorithms were developed in order toproduce better search engine result summaries. Sixsentence weighting schemes were constructed indifferent weighting components combinations with theaim of comparing the effectiveness between QTO andQuery Term Frequency (QTF).The literature on automatic summarisation evaluationis classified into intrinsically motivated GoldStandard/Baseline and Subjective Scoring evaluations,and extrinsically motivated Task Based evaluation.In order to triangulate evidence of the usefulness ofthe QTO algorithm, Document Understanding Conferencedata was used for intrinsic evaluation andonline English web data was used for both intrinsicand extrinsic evaluations. The QTO summarisation system was compared againstthat of Google. Representativeness, Judgeability andScanning-Speed were the three tasks in theevaluations, and the summary quality was derived fromthe measurements of the three tasks. N° de réf. du vendeur 9783639150001
Quantité disponible : 2 disponible(s)
Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26358882604
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 353608435
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18358882598
Quantité disponible : 4 disponible(s)