Search Results for author: Tal Baumel

Found 6 papers, 2 papers with code

Federated Multilingual Models for Medical Transcript Analysis

no code implementations4 Nov 2022 Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis

Federated Learning (FL) is a novel machine learning approach that allows the model trainer to access more data samples, by training the model across multiple decentralized data sources, while data access constraints are in place.

Federated Learning

Question Answering as an Automatic Evaluation Metric for News Article Summarization

2 code implementations NAACL 2019 Matan Eyal, Tal Baumel, Michael Elhadad

Recent work in the field of automatic summarization and headline generation focuses on maximizing ROUGE scores for various news datasets.

Headline Generation Question Answering +1

Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment

1 code implementation27 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.

General Classification Multi-Label Classification +2

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