sent_debias

[ACL 2020] Towards Debiasing Sentence Representations (by pliang279)

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  • academic ethics issues in NLP
    1 project | /r/LanguageTechnology | 30 Jan 2022
    following on from the above, to what extent should we trust big models and the built in biases that they learn from huge scraped datasets? Many current SOTA trends for doing few shot learning on nlp tasks involve fine tuning existing large language models. There are lots of interesting research is going on around understanding and removing these biases like this paper from Liang and Li @ ACL2020. A related point is explainability - again some interesting work going on around things like rationale generation this now somewhat old paper by Lei et al 2016 gives some good context

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over 1 year ago

pliang279/sent_debias is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of sent_debias is Python.


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