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NAACL
1994
15 years 7 months ago
Speech-Based Retrieval Using Semantic Co-Occurrence Filtering
In this paper we demonstrate that speech recognition can be effectively applied to information retrieval (IR) applications. Our system exploits the fact that the intended words of...
Julian Kupiec, Don Kimber, Vijay Balasubramanian
TMM
2002
140views more  TMM 2002»
15 years 5 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
IRI
2006
IEEE
16 years 6 days ago
Integration of low level linguistic information for clinical document semantic tagging
We propose a semantic tagger that provides high level concept information for phrases based on several kinds of low level information about words in clinical narrative texts. The ...
Hyeju Jang, Yun Jin, Sung-Hyon Myaeng
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 11 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
MM
2006
ACM
250views Multimedia» more  MM 2006»
16 years 3 days ago
Effective and efficient object-based image retrieval using visual phrases
In this paper, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects. The visual p...
Qing-Fang Zheng, Wei-Qiang Wang, Wen Gao