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1
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation ...
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2
Fairness-aware Class Imbalanced Learning ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.155/ Abstract: Class imbalance is a common challenge in many NLP tasks, and has clear connections to bias, in that bias in training data often leads to higher accuracy for majority groups at the expense of minority groups. However there has traditionally been a disconnect between research on class-imbalanced learning and mitigating bias, and only recently have the two been looked at through a common lens. In this work we evaluate long-tail learning methods for tweet sentiment and occupation classification, and extend a margin-loss based approach with methods to enforce fairness. We empirically show through controlled experiments that the proposed approaches help mitigate both class imbalance and demographic biases. ...
Keyword: Computational Linguistics; Ethics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/37636-fairness-aware-class-imbalanced-learning
https://dx.doi.org/10.48448/te9s-pa19
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3
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation ...
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4
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning ...
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5
It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data ...
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6
Generating Diverse Descriptions from Semantic Graphs ...
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7
Balancing out Bias: Achieving Fairness Through Training Reweighting ...
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8
ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents
In: Front Res Metr Anal (2021)
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