no code implementations • EMNLP (sustainlp) 2021 • Zilun Peng, Akshay Budhkar, Ilana Tuil, Jason Levy, Parinaz Sobhani, Raphael Cohen, Jumana Nassour
Using a teacher-student approach, we distilled the knowledge from the original wav2vec 2. 0 model into a student model, which is 2 times faster and 4. 8 times smaller than the original model.
no code implementations • 28 Jul 2020 • Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach
We find that individuals can be ranked for effective testing using a few simple features, and that ranking them using such models we can capture 65% (CI: 64. 7%-68. 3%) of the positive individuals using less than 20% of the testing capacity or 92. 1% (CI: 91. 1%-93. 2%) of positives individuals using 70% of the capacity, allowing reserving a significant portion of the tests for population studies.
no code implementations • 27 Nov 2019 • Raphael Cohen, Michael Elhadad
Our method is based on a step of noisy transliteration and then ranking of the results based on origin specific letter models.
1 code implementation • 27 Sep 2017 • Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen, Michael Elhadad, No`emie Elhadad
In the context of the Electronic Health Record, automated diagnosis coding of patient notes is a useful task, but a challenging one due to the large number of codes and the length of patient notes.