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    BLOGS
    More Efficient NLP Model Pre-training with ELECTRA
    Posted by Kevin Clark, Student Researcher and Thang Luong, Senior Research Scientist, Google Research, Brain Team Recent advances in language pre-t...
    BLOGS
    Advancing NLP with Efficient Projection-Based Model Architectures
    Posted by Prabhu Kaliamoorthi, Software Engineer, Google Research Deep neural networks have radically transformed natural language processing (NLP)...
    BLOGS
    Measuring Gendered Correlations in Pre-trained NLP Models
    Posted by Kellie Webster, Software Engineer, Google Research Natural language processing (NLP) has seen significant progress over the past several ...
    BLOGS
    The Language Interpretability Tool (LIT): Interactive Exploration and Analysis of NLP Models
    Posted by James Wexler, Software Developer and Ian Tenney, Software Engineer, Google Research As natural language processing (NLP) models become mo...
    BLOGS
    Two New Datasets for Conversational NLP: TimeDial and Disfl-QA
    Posted by Aditya Gupta, Software Engineer and Shyam Upadhyay, Research Scientist, Google Assistant A key challenge in natural language processing (...
    PUBLICATIONS
    Multilingual Sequence-to-Sequence Models for Hebrew NLP
    Matan Eyal • Hila Noga • Roee Aharoni • Idan Szpektor • Reut Tsarfaty • (2022)
    PUBLICATIONS
    How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP
    Christian Hardmeier • Marta R. Costa-jussà • Kellie Webster • Will Radford • Su Lin Blodgett • arXiv (2020)
    PUBLICATIONS
    The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
    Ian Tenney • James Wexler • Jasmijn Bastings • Tolga Bolukbasi • Andy Coenen • Sebastian Gehrmann • Ellen Jiang • Mahima Pushkarna • Carey Radebaugh • Emily Reif • Ann Yuan • Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Association for Computational Linguistics (to appear)
    PUBLICATIONS
    Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
    Tianlu Wang • Rohit Sridhar • Diyi Yang • Xuezhi Wang • NAACL 2022 Findings
    PUBLICATIONS
    DoT: An efficient Double Transformer for NLP tasks with tables
    Syrine Krichene • Julian Martin Eisenschlos • Thomas Müller • Findings of the Association for Computational Linguistics: ACL 2021
    PUBLICATIONS
    Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering
    Deepak Ravichandran • Patrick Pantel • Eduard Hovy • ACL-2005
    PUBLICATIONS
    Measure and Improve Robustness in NLP Models: A Survey
    Xuezhi Wang • Haohan Wang • Diyi Yang • NAACL 2022