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Task Description
Useful Information

Useful Information about the ALTA 2018 Shared Task

This page contains some links that you may find useful when attempting the task. More information may be added later on.

Related Papers

  1. Dilesha Seneviratne, Shlomo Geva, Guido Zuccon, Gabriela Ferraro, Timothy Chappell, and Magali Meireles. A Signature Approach to Patent Classification. Information Retrieval Technology: 11th Asia Information Retrieval Societies Conference, AIRS 2015, Brisbane, QLD, Australia, December 2-4, 2015. Pages: 413--419. ISBN: 978-3-319-28940-3. Springer International Publishing.
  2. Fall, C. J., Törcsvári, A., Benzineb, K., & Karetka, G. (2003, April). Automated categorization in the international patent classification. In ACM Sigir Forum (Vol. 37, No. 1, pp. 10-25). ACM.
  3. D'hondt, E., Verberne, S., Koster, C., & Boves, L. (2013). Text representations for patent classification. Computational Linguistics, 39(3), 755-775.
  4. Benzineb, K., & Guyot, J. (2011). Automated patent classification. In Current challenges in patent information retrieval (pp. 239-261). Springer, Berlin, Heidelberg.
  5. Some Ideas

    • The following Kaggle kernel shows a simple analysis of the data and the implementation of a baseline that uses Naive Bayes classifiers. This baseline appears in the leaderboard.
    • CLEF-IP has run several tracks on retrieval in the intellectual property domain, including two tracks on patent classification in 2010 and 2011.

    Feel free to post questions, comments, kernels, etc. at the Kaggle in Class competition page. In order to access the Kaggle in Class pages, you need to register with this shared task.


© ALTA 2018. Competition Organisers.