Visualization of Embedding Representations for deBiasingsystem (“VERB”) is an open-source web-based visualization tool that helps the users gain a technical understanding and visual intuition of debiasing techniques . VERB decomposes each technique into interpretable sequences ofprimitive transformations and highlights their effect on the word vectors usingdimensionality reduction and interactive visual exploration . It is designed to target NLP practitioners who are designing decision-making systems on top of word embeddings, and also researchers working with fairness and ethics of machine learning systems in NLP . It can also serve as a visual medium for education, which helps an NLP novice to understand andmitigate biases in word embeddeddings . For confidential support call the Samaritans on 08457 90 90 90, visit a local Samaritans branch or click here for details. For support in the U.S. call the National Suicide Prevention Line on suicide prevention on suicide matters.

Author(s) : Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang

Links : PDF - Abstract

Code :
Coursera

Keywords : word - suicide - nlp - verb - visual -

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