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2021 EMNLP EMNLP 2021

RTM Super Learner Results at Quality Estimation Task

Abstract

AbstractWe obtain new results using referential translation machines (RTMs) with predictions mixed to obtain a better mixture of experts prediction. Our super learner results improve the results and provide a robust combination model.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — prediction mixing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Ergun Biçici

Topics

Natural Language Processing > Applications > Machine Translation Machine Learning > Learning Types > Ensemble Learning Machine Learning > Core Methods > Ensemble Methods Natural Language Processing > Applications > Quality Estimation

Keywords

ensemble learning model combination quality estimation mixture of expert prediction mixing referential translation machine super learner
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