Jean-Pierre Chevallet

Laboratoire d'Informatique de Grenoble, Grenoble, Rhône-Alpes, France

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Publications (93)1.42 Total impact

  • Mohannad ALMasri, Catherine Berrut, Jean-Pierre Chevallet
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    ABSTRACT: We deal, in this paper, with the short queries (containing one or two words) problem. Short queries have no sufficient information to express their semantics in a non ambiguous way. Pseudo-relevance feedback (PRF) approach for query expansion is useful in many Information Retrieval (IR) tasks. However, this approach does not work well in the case of very short queries. Therefore, we present instead of PRF a semantic query enrichment method based on Wikipedia. This method expands short queries by semantically related terms extracted from Wikipedia. Our experiments on cultural heritage corpora show significant improvement in the retrieval performance.
    Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval; 10/2013
  • Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut
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    ABSTRACT: Exhaustivity and Specificity in logical Information Retrieval framework were introduced by Nie [16]. However, even with some attempts, they are still theoretical notions without a clear idea of how to be implemented. In this study, we present a new approach to deal with them. We use propositional logic and lattice theory in order to redefine the two implications and their uncertainty P(d → q) and P(q → d). We also show how to integrate the two notions into a concrete IR model for building a new effective model. Our proposal is validated against six corpora, and using two types of terms (words and concepts). The experimental results showed the validity of our viewpoint, which state: the explicit integration of Exhaustivity and Specificity into IR models will improve the retrieval performance of these models. Moreover, there should be a type of balance between the two notions.
    Fourth International Conference on the Theory of Information Retrieval (ICTIR 2013); 09/2013
  • Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut
    24th International Conference on Database and Expert Systems Applications (DEXA 2013); 08/2013
  • Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut
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    ABSTRACT: Logic-based Information Retrieval (IR) models represent the retrieval decision as a logical implication d->q between a document d and a query q, where d and q are logical sentences. However, d->q is a binary decision, we thus need a measure to estimate the degree to which d implies q, denoted P(d->q). In this study, we revisit the Van Rijsbergen's assumptions about: 1- the logical implication ->' is not the material one, and 2- P(d->q) could be estimated by the conditional probability P(q|d). More precisely, we claim that the material implication is an appropriate implication for IR, and also we mathematically prove that replacing P(d->q) by P(q|d) is a correct choice. In order to prove the Van Rijsbergen's assumption, we use the Propositional Logic and the Lattice theory. We also exploit the notion of degree of implication that is proposed by Knuth.
    36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'13); 07/2013
  • Philippe Mulhem, Jean-Pierre Chevallet
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    ABSTRACT: This paper focuses on the retrieval of parts of structured document called doxels. We propose a notion of reading context of a doxel and we exploit it to extend an Indexing Language Model (LM) with Dirichlet smoothing. We interpret a context of a doxel as a propagation of the content of the connected doxels via document structure links. We experiment this model on INEX corpus 2009, and test different context propagations. We measure a significant increase in results using contexts, compared to a reference approach without the use of context for 3 types of doxels. Moreover, our proposal outperforms the best result obtained for the Focused evaluation for the Ad Hoc task at INEX 2009.
    Proceedings of the 10th Conference on Open Research Areas in Information Retrieval; 05/2013
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    Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut
    CLEF (Online Working Notes/Labs/Workshop); 09/2012
  • Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut
    23rd International Conference on Database and Expert Systems Applications (DEXA 2012); 09/2012
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    Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut
    CLEF 2011 Labs and Workshop, Notebook Papers; 09/2011
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    Karam Abdulahhad, Jean-Pierre Chevallet, Catherine Berrut
    COnférence en Recherche d'Infomations et Applications - CORIA 2011, 8th French Information Retrieval Conference; 03/2011
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    Philippe Mulhem, Jean-Pierre Chevallet
    COnférence en Recherche d'Infomations et Applications - CORIA 2010, 7th French Information Retrieval Conference, Sousse, Tunisia, March 18-20, 2010. Proceedings; 01/2010
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    ABSTRACT: This paper describes mainly the experiments that have been conducted by the MRIM group at the LIG in Grenoble for the the ImageCLEF 2009 campaign, focusing on the work done for the Robotvision task. The proposal for this task is to study the behaviour of a generative approach inspired by the language model of information retrieval. To fit with the specificity of the Robotvision task, we added post-processing in a way to tackle with the fact that images do belong only to several classes (rooms) and that image are not independent from each others (i.e., the robot cannot in one second be in three different rooms). The results obtained still need improvement, but the use of such language model in the case of Robotvision is showed. Some results related to the Image Retrieval task and the Image annotation task are also presented.
    Multilingual Information Access Evaluation II. Multimedia Experiments - 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers; 01/2009
  • Philippe Mulhem, Jean-Pierre Chevallet
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    ABSTRACT: We present in this paper the work of the Information Retrieval Modeling Group (MRIM) of the Computer Science Laboratory of Grenoble (LIG) at the INEX 2009 Ad Hoc Track. Our aim this year was to twofold: first study the impact of extracted noun phrases taken in addition to words as terms, and second using forward links present in Wikipedia to expand queries. For the retrieval, we use a language model with Dirichlet smoothing on documents and/or doxels, and using an Fetch and Browse approach we select rank the results. Our best runs according to doxel evaluation get the first rank on the Thorough task, and according to the document evaluation we get the first rank for the Focused, Relevance in Context and Best in Context tasks.
    Focused Retrieval and Evaluation, 8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, Brisbane, Australia, December 7-9, 2009, Revised and Selected Papers; 01/2009
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    ABSTRACT: The ubiquity of camera phones provides a convenient platform to develop immersive mixed-reality games. In this paper we introduce such a game which is loosely based on the popular card game “Memory”, where players are asked to match a pair of identical cards among a set of overturned cards by revealing only two cards at a time. In our game, the players are asked to match a “digital card”, which corresponds to a scene in a virtual world, to a “physical card”, which is an image of a scene in the real world. The objective is to convey a mixed-reality sensation. Cards are matched with a scene identification engine which consists of multiple classifiers trained on previously collected images. We present our comprehensive overall game design, as well as implementation details and results. We also describe how we constructed our scene identification engine and its performance. Finally, we present an analysis of player surveys to gauge the potential market acceptance.
    The Visual Computer 01/2009; 25:25-37. · 0.91 Impact Factor
  • Loïc Maisonnasse, Catherine Berrut, Jean-Pierre Chevallet
    Actes du XXVIème Congrès INFORSID, Fontainebleau, France, 27 au 30 mai 2008; 01/2008
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    Sheng Gao, Jean-Pierre Chevallet, Joo-Hwee Lim
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    ABSTRACT: This paper introduces the IPAL participation at CLEF 2008 on the new TEL collec- tion and on the ad-hoc photographic retrieval ImageClef. Following the changes in evaluation criterion this year in ImageClef, i.e.promoting diversity in the top ranked images, we have integrated the novelty measure in our similarity based system devel- oped in ImageCLEF 2007. The novelty score is calculated between an image in the ranked list and the images ranked higher than it. The system is still an automatic and mixed-modality based image search, which is similar to the previous years. 10 runs are submitted this year in ImageClef. In the overall ranking, our group stands at the 3rd place in 25 participants. 4 runs are submitted for the TEL collection. In this working note, we will share our experience in participating these two tasks.
    01/2008;
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    Trong-Ton Pham, Jean-Pierre Chevallet, Joo-Hwee Lim
    COnférence en Recherche d'Infomations et Applications - CORIA 2008, 5th French Information Retrieval Conference, Trégastel, France, March 12-14, 2008. Proceedings; 01/2008
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    Loïc Maisonnasse, Éric Gaussier, Jean-Pierre Chevallet
    COnférence en Recherche d'Infomations et Applications - CORIA 2008, 5th French Information Retrieval Conference, Trégastel, France, March 12-14, 2008. Proceedings; 01/2008
  • Conference Paper: LIG at ImageCLEF 2008.
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    ABSTRACT: This paper describes the work of the LIG for ImageCLEF 2008. For ImageCLEFPhoto, two non diversified runs (text only and text + image), and two diversified runs were officially submitted. We add in this paper results on image only runs. The text retrieval part is based on a language model of Information Retrieval, and the image part uses RGB histograms. Text+image results are obtained by late fusion, by merging text and image results. We tested three strategies for promoting diversity using date/location or visual features. Diversification on image only runs does not perform well. Diversification on image and text+image outperforms non diversified runs. In a second part, this paper describes the runs and results obtained by the LIG at ImageCLEFmed 2008. This contribution incorporates knowledge in the language modeling approach to information retrieval (IR) through the graph modeling approach proposed in . Our model makes use of the textual part of the corpus and of the medical knowledge found in the Unified Medical Language System (UMLS) knowledge sources. And the model is extended to combine different graph detection methods on queries and documents. The results show that detection combination improves the performances.
    Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers; 01/2008
  • Saïd Radhouani, Gilles Falquet, Jean-Pierre Chevallet
    Database and Expert Systems Applications, 19th International Conference, DEXA 2008, Turin, Italy, September 1-5, 2008. Proceedings; 01/2008

Publication Stats

385 Citations
1.42 Total Impact Points

Institutions

  • 2010
    • Laboratoire d'Informatique de Grenoble
      Grenoble, Rhône-Alpes, France
  • 2009
    • Université Pierre Mendès France - Grenoble 2
      Grenoble, Rhône-Alpes, France
  • 2005–2008
    • Institute for Infocomm Research
      • Department of Human Language Technology
      Tumasik, Singapore
  • 2006–2007
    • French National Centre for Scientific Research
      Lutetia Parisorum, Île-de-France, France