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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
ICMCS
2005
IEEE
88views Multimedia» more  ICMCS 2005»
14 years 10 days 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 11 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
SIGIR
1995
ACM
13 years 10 months ago
A Trainable Document Summarizer
To summarize is to reducein complexity, and hencein length, while retaining some of the essential qualities of the original. This paper focusses on document extracts, a particular...
Julian Kupiec, Jan O. Pedersen, Francine Chen
CIKM
2005
Springer
14 years 8 days ago
Structure-based query-specific document summarization
Summarization of text documents is increasingly important with the amount of data available on the Internet. The large majority of current approaches view documents as linear sequ...
Ramakrishna Varadarajan, Vagelis Hristidis