Searching for authors named "Josiane Mothe" – sorted by Relevance.
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Combining Positive and Negative Query Feedback in Passage Retrieval
- Information Retrieval Systems aim at retrieving relevant documents according to the information needs which users express. Most Information Retrieval Systems focus on passage retrieval where the granularity of information retrieved is not the document but a smaller unit such as a sentence or passage
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Abstract TREC NOVELTY TRACK AT IRIT – SIG
- relevant if it matches the topic with a certain level of coverage. This coverage depends on the category of terms used in the texts. Different types of terms have been defined: highly relevant, scarcely relevant, nonrelevant and highly non-relevant. With regard to the novelty part, a sentence is con
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DocCube: multi-dimensional visualisation and exploration of large document sets
- Information retrieval, global visualisation, 3D representation, multidimensional visualisation and analysis This paper presents a novel user interface that provides global visualisations of large document sets in order to help users to formulate the query that corresponds to their information needs
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Structuration and enrichment of HTML documents in order to build a specific information warehouse
- Abstract- This paper presents a process to enrich the web document representation in order to supply an information warehouse and allow more precise queries than the web search engines do. This information warehouse is stored in an objectoriented database (OODB) so that powerful set-based query lang
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Mining Information in Order to Extract Hidden and Strategic Information
- The amount of information available throughout the Internet or through specific collections is so huge that more and more sophisticated information handling systems are necessary to exploit it. In addition to efficient retrieval engines, the users need some tools to be able to analyse the relevant i
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Trecnovelty
- In TREC 2004, IRIT modified important features of t he strategy that was developed for TREC 2003. Changes include tuning parameter values, topi c expansion and exploitation of sentences context. According to our method, a sentence is considered a srelevant if it matches the topic with a certain lev
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Novelty Track At Irit - Sig
- IRIT developed a new strategy in order to detect the relevant sentences that we did not try in a more general context of document retrieval but did try previously and partially in document categorization. In our approach a sentence is considered as relevant if it matches the topic with a certain lev
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Analysis of evolutionary trends in astronomical literature using a knowledge discovery system: Tétralogie
- Databases of electronic abstracts provide a wealth of information for studies about covered topics, collaborative works, or short-term evolution trends. In this paper, we report a study of a subset of the ADS database (Astrophysics Data System) of astronomy abstracts, restricted to 6190 articles for
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