About CRIM

Automatic segmentation of proposals


CRIM collaborated on a project conducted by TEC (Technology Evaluation Centers) that focused on the segmentation of unstructured data for classifying proposals. In this project, CRIM produced a data segmentation algorithm using natural language processing (NLP) and machine learning techniques.

Mehdi Aftahi, CTO at TEC presented this innovative project in a 180-second formula at the Annual Meeting of CRIM and Prompt held on June 14, 2017.

Presentation  [video in French - duration 2:40]

 

Teams

Upcoming event

  • Gala des Prix Innovation 2020 de l'ADRIQ
    19 November 2020 0:00
    Palais des Congrès de Montréal
    Le Gala Prix Innovation 2020 de l'ADRIQ aura lieu le 19 novembre 2020, au Palais des congrès de Montréal.
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  • #Conference 3 CRIM experts will take part in the 37th International Conference on Machine Learning (ICML) online th… https://t.co/4okSz705x0
  • Économie Québec RT @economie_quebec: [Communiqué de presse] Québec implante un nouveau modèle pour valoriser davantage la #recherche publique ?? https://t.…

Recent Publications

  • On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification

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  • An ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers

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