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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
5 Research products, page 1 of 1

  • Digital Humanities and Cultural Heritage
  • Publications
  • Other research products
  • Netherlands Organisation for Scientific Research (NWO)
  • PROMISE
  • LIMOSINE
  • Semantic Search in E-Discovery
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  • Publication . Conference object . 2013
    Open Access English
    Authors: 
    Kenter, T.; Graus, D.; Meij, E.; de Rijke, M.;
    Publisher: Microsoft Research
    Project: NWO | Modeling and Learning fro... (2300171779), NWO | SPuDisc: Searching Public... (2300176811), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | Building Rich Links to En... (2300153702), EC | LIMOSINE (288024)

    Document filtering over time is applied in tasks such as tracking topics in online news or social media. We consider it a classification task, where topics of interest correspond to classes, and the feature space consists of the words associated to each class. In streaming settings the set of words associated with a concept may change. In this paper we employ a multinomial Naive Bayes classifier and perform periodic feature selection to adapt to evolving topics. We propose two ways of employing Pearson's χ2 test for feature selection and demonstrate their benefit on the TREC KBA 2012 data set. By incorporating a time-dependent function in our equations for χ2 we provide an elegant method for applying different weighting and windowing schemes. Experiments show improvements of our approach over a non-adaptive baseline, in a realistic settings with limited amounts of training data.

  • Publication . Conference object . 2013
    Open Access English
    Authors: 
    Reinanda, R.; Odijk, D.; de Rijke, M.;
    Publisher: Microsoft Research
    Project: NWO | SPuDisc: Searching Public... (2300176811), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | Modeling and Learning fro... (2300171779), EC | LIMOSINE (288024), NWO | Building Rich Links to En... (2300153702)

    We address the problem of entity-oriented search in the humanities and social sciences domain. We are particularly interested in retrieving entities related to a query entity and finding associations between these entities over time. Evidence from our target end users suggests that it is more informative to view these associations as dynamic phenomena that evolve over time than as static phenomena. We present work-in-progress on methods to extract these associations and their temporal extent, and discuss a way of presenting them in an exploratory search interface. This interface is intended to help users to discover interesting associations between entities over time

  • Other research product . Other ORP type . 2013
    Open Access
    Authors: 
    Reinanda, R.; Odijk, D.; de Rijke, M.;
    Publisher: TAIA '13
    Project: NWO | Building Rich Links to En... (2300153702), EC | LIMOSINE (288024), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | SPuDisc: Searching Public... (2300176811), NWO | Modeling and Learning fro... (2300171779)
  • Open Access English
    Authors: 
    de Rijke, Maarten; Jijkoun, Valentin; Laan, Fons; Weerkamp, Wouter; Ackermans, Paul; Geleijnse, Gijs;
    Publisher: Springer Berlin Heidelberg
    Project: NWO | DutchSemCor: 1 million te... (2300154091), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | Content-based Literature ... (2300152116), NWO | Building Rich Links to En... (2300153702), EC | LIMOSINE (288024)
  • Publication . Part of book or chapter of book . 2012
    Open Access
    Authors: 
    de Rijke, M.; Jijkoun, V.; Laan, F.; Weerkamp, W.; Ackermans, P.; Geleijnse, G.; Spyns, P.; Odijk, J.;
    Publisher: Springer Berlin Heidelberg
    Country: Netherlands
    Project: EC | LIMOSINE (288024), EC | PROMISE (258191), NWO | Semantic Search in E-Disc... (2300168486), NWO | DutchSemCor: 1 million te... (2300154091), NWO | Building Rich Links to En... (2300153702), NWO | Content-based Literature ... (2300152116)

    In order to use a sentiment extraction system for a media analysis problem, a system would have to be able to determine which of the extracted sentiments are relevant, i.e., it would not only have to identify targets of extracted sentiments, but also decide which targets are relevant for the topic at hand.