The Language Interpretability Tool (LIT): Interactive Exploration and Analysis of NLP Models

Linking pages

Google Research: Looking Back at 2020, and Forward to 2021 – Google AI Blog https://ai.googleblog.com/2021/01/google-research-looking-back-at-2020.html 0 comments
Researchers are working toward more transparent language models | VentureBeat https://venturebeat.com/ai/researchers-are-working-toward-more-transparent-language-models/ 0 comments

Linked pages

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank http://nlp.stanford.edu/sentiment/index.html 48 comments
The What-If Tool: Code-Free Probing of Machine Learning Models – Google AI Blog https://ai.googleblog.com/2018/09/the-what-if-tool-code-free-probing-of.html 7 comments
[1602.04938] "Why Should I Trust You?": Explaining the Predictions of Any Classifier http://arxiv.org/abs/1602.04938 1 comment
Google AI Blog: Mitigating Unfair Bias in ML Models with the MinDiff Framework https://ai.googleblog.com/2020/11/mitigating-unfair-bias-in-ml-models.html 0 comments
Language Interpretability Tool https://pair-code.github.io/lit/ 0 comments
Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing – Google AI Blog https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html 0 comments
A Scalable Approach to Reducing Gender Bias in Google Translate – Google AI Blog https://ai.googleblog.com/2020/04/a-scalable-approach-to-reducing-gender.html 0 comments
People + AI Research https://pair.withgoogle.com/ 0 comments
GitHub - PAIR-code/lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface. https://github.com/pair-code/lit/ 0 comments
[1409.0473] Neural Machine Translation by Jointly Learning to Align and Translate http://arxiv.org/abs/1409.0473 0 comments
[1703.01365] Axiomatic Attribution for Deep Networks https://arxiv.org/abs/1703.01365 0 comments