p. 1 Exploring the Stability of IDF Term Weighting p. 10 Completely-Arbitrary Passage Retrieval in Language Modeling Approach p. 22 Semantic Discriminative Projections for Image Retrieval p. 34 Comparing Dissimilarity Measures for Content-Based Image Retrieval p. 44 A Semantic Content-Based Retrieval Method for Histopathology Images p. 51 Integrating Background Knowledge into RBF Networks for T...

In hypermedia systems, links are used to connect related information in different types of media, for example: text, images, sound, etc. In this way, authors and users have means of accessing the information in a non-sequential manner, in the way they prefer, by following links that may be visualised as highlighted text or by other means. However, when simply following links while seeking infor...

This paper illustrates how a text-retrieval and an image retrieval system can simply complement each other. In order to show this we first expose the importance of a good architecture for combining text and image search engines. Then, we focus on our image search engine. Finally, we present a series of queries that fusion text and image aspects.

Question Answering (QA) systems are often built modularly, with a text retrieval component feeding forward into an answer extraction component. Conventional wisdom suggests that, the higher the quality of the retrieval results used as input to the answer extraction module, the better the extracted answers, and hence system accuracy, will be. This turns out to be a poor assumption, because text ...

Question Answering (QA) systems are often built modularly, with a text retrieval component feeding forward into an answer extraction component. Conventional wisdom suggests that, the higher the quality of the retrieval results used as input to the answer extraction module, the better the extracted answers, and hence system accuracy, will be. This turns out to be a poor assumption, because text ...

We present an analysis of information retrieval as an information-seeking activity, supporting people's inteactions with text. This analysis suggests that some assumptions underlying the standard model of information retrieval are inappropriate, and we suggest alternative assumptions and discuss their implications for information retrieval system design. It is proposed that information retireva...

In recent years, there has been increasing demand for ad hoc retrieval of spoken documents. We can use existing text retrieval methods by transcribing spoken documents into text data using a Large Vocabulary Continuous Speech Recognizer (LVCSR). However, retrieval performance is severely deteriorated by recognition errors and out-of-vocabulary (OOV) words. To solve these problems, we previously...

This paper provides an overview of Kernel Canonical Correlation Analysis. KCCA is a technique for finding common semantic features between different views of data. Applications on text retrieval, categorization and image retrieval based on text queries are presented.

We report on several experiments in using data fusion to improve information retrieval, and in approximate text and 5-gram mathcing methods for retrieval of corrupted text, in the TREC context.

Volcanic activity may influence climate parameters and impact people safety, hence monitoring its characteristic indicators their temporal evolution is crucial. Several databases, communications literature providing data, information updates on active volcanoes worldwide are available, will likely increase in the future. Consequently, extraction text mining techniques aiming to efficiently anal...