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Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics


Apr 27, 2021
Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov

* Accepted at NAACL 2021 

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StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization


Mar 01, 2020
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov


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Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach


Jun 10, 2019
Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi


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Machine Learning at Microsoft with ML .NET


May 15, 2019
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu


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PAC Learning Guarantees Under Covariate Shift


Dec 16, 2018
Artidoro Pagnoni, Stefan Gramatovici, Samuel Liu


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Conditional Variational Autoencoder for Neural Machine Translation


Dec 11, 2018
Artidoro Pagnoni, Kevin Liu, Shangyan Li


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