Remove 2014 Remove Computational Linguistics Remove Deep Learning
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The State of Multilingual AI

Sebastian Ruder

This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. These include groups focusing on linguistic regions such as Masakhane for African languages, AmericasNLP for native American languages, IndoNLP for Indonesian languages, GhanaNLP and HausaNLP , among others. An image in Flickr30k (Young et al.,

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AI Distillery (Part 2): Distilling by Embedding

ML Review

Note : The “Charts and Additional Insights” page, one chart being “Top topics from 2014 onwards”. Note : Top 100 cited papers according to the semantic scholar API from 2014+ (specifically from our arxiv dataset). In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (Vol.

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Major trends in NLP: a review of 20 years of ACL research

NLP People

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. NLP, a major buzzword in today’s tech discussion, deals with how computers can understand and generate language. Neural Networks are the workhorse of Deep Learning (cf.

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