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portada Multi-Document Summarization Using Distortion-Rate Ratio
Type
Physical Book
Author
Publisher
Language
English
Pages
96
Format
Paperback
Dimensions
22.9x15.2x0.6 cm
Weight
0.15 kg.
ISBN13
9783330066052
Categories

Multi-Document Summarization Using Distortion-Rate Ratio

Ulukbek Attokurov (Author) · Uluğ Bayazıt (Author) · LAP Lambert Academic Publishing · Paperback

Multi-Document Summarization Using Distortion-Rate Ratio - Attokurov, Ulukbek ; Bayazıt, Uluğ

New Book Imported to South Africa
Delivery: 13 Nov - 23 Nov Shipping: 13 to 14 business days.
R 1,073
R 1,073

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Synopsis "Multi-Document Summarization Using Distortion-Rate Ratio"

The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm.

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