Co-occurring keywords · papers mentioning both
Papers
COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task
EMNLP 2022
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
EMNLP 2022
COMET-QE and Active Learning for Low-Resource Machine Translation
EMNLP 2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
EMNLP 2022
CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared Task
EMNLP 2022
Findings of the WMT 2022 Shared Task on Quality Estimation
EMNLP 2022
IIT Bombay’s WMT22 Automatic Post-Editing Shared Task Submission
EMNLP 2022
KU X Upstage’s Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task
EMNLP 2022
Learning Confidence for Transformer-based Neural Machine Translation
ACL 2022
MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem
EMNLP 2022
MS-COMET: More and Better Human Judgements Improve Metric Performance
EMNLP 2022
NJUNLP’s Participation for the WMT2022 Quality Estimation Shared Task
EMNLP 2022
Papago’s Submission to the WMT22 Quality Estimation Shared Task
EMNLP 2022
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance
EMNLP 2022
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation
COLING 2022
Quality-Aware Decoding for Neural Machine Translation
NAACL 2022
Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task
EMNLP 2022
REUSE: REference-free UnSupervised Quality Estimation Metric
EMNLP 2022
Shape-Adaptive Selection and Measurement for Oriented Object Detection
AAAI 2022
Translation Error Detection as Rationale Extraction
ACL 2022
UniTE: Unified Translation Evaluation
ACL 2022
Welocalize-ARC/NKUA’s Submission to the WMT 2022 Quality Estimation Shared Task
EMNLP 2022
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers
ACL 2021
Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task
EMNLP 2021
Backtranslation Feedback Improves User Confidence in MT, Not Quality
NAACL 2021