Correct Me If You Can: Learning from Error Corrections and Markings

23 April 2020

Papers citing "Correct Me If You Can: Learning from Error Corrections and Markings"

5 / 5 papers shown

Title
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings Miguel Moura Ramos Tomás Almeida Daniel Vareta Filipe Azevedo Sweta Agrawal Patrick Fernandes André F. T. Martins 33 1 0 08 Nov 2024
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement Gavin Abercrombie Verena Rieser Dirk Hovy 54 16 0 25 Jan 2023
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution Sahan Bulathwela Maria Perez-Ortiz C. Holloway John Shawe-Taylor 28 19 0 03 Dec 2021
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation Tsz Kin Lam Julia Kreutzer Stefan Riezler 21 31 0 03 May 2018
Neural versus Phrase-Based Machine Translation Quality: a Case Study L. Bentivogli Arianna Bisazza Mauro Cettolo Marcello Federico 191 328 0 16 Aug 2016