Papers with post-processing approaches

2 papers
FairLib: A Unified Framework for Assessing and Improving Fairness (2022.emnlp-demos)

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Challenge: Existing approaches to assess and improve model fairness have been inconsistent and inconsistent.
Approach: They propose an open-source python library for assessing and improving model fairness.
Outcome: The proposed framework can be used for natural language, images, and audio.
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System (N18-3)

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Challenge: In recent years, there has been growing interest in voice-controlled devices, such as Amazon Alexa or Google home.
Approach: They investigate the use of Machine Translation to bootstrap a natural language understanding system for a new language for the use case of a large-scale voice-controlled device.
Outcome: The proposed method reduces the time and cost of getting annotated corpus for a new language while still providing a large enough coverage of user requests.

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