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PRL
2008
181views more  PRL 2008»
15 years 3 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
135
Voted
SIGIR
2006
ACM
15 years 9 months ago
Spoken document retrieval from call-center conversations
We are interested in retrieving information from conversational speech corpora, such as call-center data. This data comprises spontaneous speech conversations with low recording q...
Jonathan Mamou, David Carmel, Ron Hoory
116
Voted
LREC
2010
170views Education» more  LREC 2010»
15 years 4 months ago
Building a Domain-specific Document Collection for Evaluating Metadata Effects on Information Retrieval
This paper describes the development of a structured document collection containing user-generated text and numerical metadata for exploring the exploitation of metadata in inform...
Walid Magdy, Jinming Min, Johannes Leveling, Garet...
127
Voted
WWW
2002
ACM
15 years 2 months ago
Improvement of HITS-based algorithms on web documents
In this paper, we present two ways to improve the precision of HITS-based algorithms on Web documents. First, by analyzing the limitations of current HITS-based algorithms, we pro...
Longzhuang Li, Yi Shang, Wei Zhang
150
Voted
PDPTA
1996
15 years 4 months ago
Document Retrieval Performance on Parallel Systems
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is de ned a...
David Hawking