Spotting Where to Read on Pages - Retrieval of Relevant Parts from Page Images
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Document Image Retrieval Based on 2D Density Distributions of Terms with Pseudo Relevance Feedback
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Discriminative probabilistic models for passage based retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Analyzing the efficacy of using digital ink devices in a learning environment
Multimedia Tools and Applications
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Abstract: Retrieval of electronic documents is a fundamental component for intelligent access to the contents of documents. Although the history of its research is long, it is still not a trivial task, in particular, when we retrieve long documents with short queries. For the retrieval of long documents, a method called passage-based document retrieval has proven to be effective. In this paper, we experimentally show that the passage-based retrieval is also advantageous for dealing with short queries on condition that documents are long. We employ a passage-based method based on density distributions of query terms in documents, and compare it with three conventional methods: the vector space model, pseudo-feedback and latent semantic indexing.