Advances of transformer-based models for news headline generation arxiv.org/abs/2007.05044 #NLProc

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods arxiv.org/abs/1907.09358 #NLProc

GPT-3, a Giant Step for Deep Learning and NLP anotherdatum.com/gpt-3.html #NLProc

Numpy Cheat Sheet towardsdatascience.com/numpy-cheat-sh… #DataScience

Big Bird: Transformers for Longer Sequences arxiv.org/pdf/2007.14062… #NLProc

Sentiment Analysis using Deep Learning datasciencecentral.com/profiles/blogs… #NLProc

Zero-Shot Learning in Modern NLP joeddav.github.io/blog/2020/05/2… #NLProc

Large-scale Transfer Learning for Low-resource Spoken Language Understanding arxiv.org/abs/2008.05671 #NLProc

Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood arxiv.org/abs/2008.07720 #NLProc

Paraphrase Generation as Zero-Shot Multilingual Translation arxiv.org/abs/2008.04935 #NLProc

Language Interpretability Tool (LIT): a visual, interactive model-understanding tool for NLP models github.com/pair-code/lit/ #NLProc

A Comparison of LSTM and BERT for Small Corpus arxiv.org/abs/2009.05451 #NLProc

It's not just size that matters: small language models are also few-shot learners arxiv.org/abs/2009.07118 #NLProc

For my next word sense disambiguation class #nlproc

Advancing NLP with efficient projection-based model architectures ai.googleblog.com/2020/09/advanc… #NLProc

How can we make language models be less data-hungry? arxiv.org/abs/2009.11523 #NLProc

The return of nearest neighbor models —or memory-based learning— to NLP: strong gains on neural MT, especially for domain adaptation arxiv.org/abs/2010.00710 #NLProc

GraphGlove: embedding words in non-vector space with unsupervised graph learning arxiv.org/abs/2010.02598 #NLProc

A visual guide to regular expressions amitness.com/regex/

Building a Faster and Accurate Search Engine on Custom Dataset with Transformers 🤗 medium.com/analytics-vidh… #NLProc