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» A Trainable Document Summarizer
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DRR
2010
13 years 10 months ago
Time and space optimization of document content classifiers
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
Dawei Yin, Henry S. Baird, Chang An
SIGIR
1998
ACM
13 years 11 months ago
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
Jaime G. Carbonell, Jade Goldstein
SIGIR
2002
ACM
13 years 7 months ago
Cross-document summarization by concept classification
In this paper we describe a Cross Document Summarizer XDoX designed specifically to summarize large document sets (50-500 documents and more). Such sets of documents are typically...
Hilda Hardy, Nobuyuki Shimizu, Tomek Strzalkowski,...
ICMCS
2005
IEEE
88views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Spoken document summarization using acoustic, prosodic and semantic information
This paper presents a spoken document summarization scheme using acoustic, prosodic and semantic information. First, speech recognition confidence is estimated to choose reliable ...
Chien-Lin Huang, Chia-Hsin Hsieh, Chung-Hsien Wu
DAWAK
2001
Springer
13 years 12 months ago
Discovering Web Document Associations for Web Site Summarization
Complex web information structures prevent search engines from providing satisfactory context-sensitive retrieval. We see that in order to overcome this obstacle, it is essential t...
K. Selçuk Candan, Wen-Syan Li