no code implementations • 4 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.
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.
no code implementations • 23 Jan 2018 • Tal Baumel, Matan Eyal, Michael Elhadad
Query Focused Summarization (QFS) has been addressed mostly using extractive methods.
Ranked #1 on Query-Based Extractive Summarization on Debatepedia
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.