A new shot level video retrieval system that supports semantic visual features (e.g., car, mountain, and fire) browsing is developed to facilitate content-based retrieval. The video's binary semantic feature vector is utilized to calculate the score of ...

We present an extensible java-based platform for contextual retrieval based on the probabilistic information retrieval model. Modules for dual indexes, relevance feedback with blind or machine learning approaches and query expansion with context are ...

Much interesting text n the web consists largely of opinionated or evaluative text, as opposed to directly informative text. The new field of 'sentiment analysis' seeks to characterize such aspects of natural language text, as opposed to just the bare ...

One challenging problem for biomedical text retrieval is to find accurate synonyms or name variants for biomedical entities. In this paper, we propose a new concept-based approach to tackle this problem. In this approach, a set of concepts instead of ...

We discuss information retrieval methods that aim at serving a diverse stream of user queries. We propose methods that emphasize the importance of taking into consideration of query difference in learning effective retrieval functions. We formulate the ...

In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimental results based on a benchmark showed superior performance of the proposed ...

Label propagation exploits the structure of the unlabeled documents by propagating the label information of the training documents to the unlabeled documents. The limitation with the existing label propagation approaches is that they can only deal with ...

In this poster, we describe the study of an interface technique that provides a list of suggested additional query terms as a searcher types a search query, in effect offering interactive query expansion (IQE) options while the query is formulated. ...

For many years it has been commonly held that a user who adds structural "hints" to a query will improve precision in an element retrieval search. At INEX 2005 we conducted an experiment to test this assumption. We present the unexpected result that ...

Structural hints in XML-retrieval queries can be used to specify both the granularity of the search result (the target element) and where in a document to search (support elements). These hints might be interpreted either strictly or vaguely, but does ...

We report the statistically significant mean impacts of blind feedback, as implemented by 7 participants for the 2003 Reliable Information Access (RIA) Workshop, on 30 retrieval measures, including several primary recall measures not originally ...