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Edgar Meij

semantic search research ッ

  • Publications
    • Conference Papers
    • Workshop Papers
    • Journal Papers
    • Publicity
    • Books
    • Theses
    • Submitted
  • Professional Activities
  • Teaching
  • About
  • Contact

Time-Aware Chi-squared for Document Filtering over Time

22/07/2013 Publications Workshop Papers No Comments

To appear at TAIA2013 (a SIGIR 2013 workshop).

Document filtering over time is widely applied in various 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 its 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 schemes. Experiments show improvements of our approach over a non-adaptive baseline.

Adaptive Filteringedgar-meijedgar-meij-qa-challengemeijtime-aware-chi-squared-for-document-filtering-over-timeTREC KBA

Do support groups members disclose less to their partners? the dynamics of HIV disclosure in four African countries

Entity Linking and Retrieval Tutorial @ SIGIR 2013 – Slides, Code, and Bibliography

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This is the website of Edgar Meij. I lead several groups of researchers and engineers at Bloomberg working on knowledge graphs, question answering, information retrieval, machine learning, and more…

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