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» Using Information Extraction to Improve Document Retrieval
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ICMCS
2005
IEEE
88views Multimedia» more  ICMCS 2005»
15 years 11 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
ICDAR
2009
IEEE
16 years 23 days ago
Document Image Retrieval with Local Feature Sequences
In recent years, many document image retrieval algorithms have been proposed. However, most of the current approaches either need good quality images or depend on the page layout ...
Jilin Li, Zhi-Gang Fan, Yadong Wu, Ning Le
EKAW
2004
Springer
15 years 11 months ago
Ontology-Based Semantic Annotations for Biochip Domain
We present the interest of the Semantic Web techniques, particularly semantic annotation, in the biochip domain. We propose a semi-automatic method using the information extraction...
Khaled Khelif, Rose Dieng-Kuntz
ECIR
2010
Springer
15 years 7 months ago
Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...
Odysseas Papapetrou, Wolf Siberski, Norbert Fuhr
CIKM
2005
Springer
15 years 11 months ago
Web-centric language models
We investigates language models for informational and navigational web search. Retrieval on the web is a task that differs substantially from ordinary ad hoc retrieval. We perfor...
Jaap Kamps