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The State of Transfer Learning in NLP

Sebastian Ruder

This post expands on the NAACL 2019 tutorial on Transfer Learning in NLP. In the span of little more than a year, transfer learning in the form of pretrained language models has become ubiquitous in NLP and has contributed to the state of the art on a wide range of tasks. However, transfer learning is not a recent phenomenon in NLP.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold.

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Multi-domain Multilingual Question Answering

Sebastian Ruder

2013 ), MCScript ( Modi et al., Among current key applications of NLP, QA has the lowest linguistic global utility, i.e. performance averaged across the world's languages ( Blasi et al., Linguistic and demographic utility of different NLP applications ( Blasi et al., 2016 ), and BookTest ( Bajgar et al.,

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Parsing English in 500 Lines of Python

Explosion

I wrote this blog post in 2013, describing an exciting advance in natural language understanding technology. You should probably at least skim that post before reading this one, unless you’re very familiar with NLP research. The derivation for the transition system we’re using, Arc Hybrid, is in Goldberg and Nivre (2013).

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AI Distillery (Part 2): Distilling by Embedding

ML Review

vector: Probing sentence embeddings for linguistic properties. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (Vol. Star our repo: ai-distillery And clap your little hearts out for MTank ! References Harris, Z. Distributional structure. Word, 10(2–3), 146–162.

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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. We took the opportunity to review major research trends in the animated NLP space and formulate some implications from the business perspective. But what is the substance behind the buzz?

NLP 52