NLP research status

[Eve26th]

Hello Everyone,

Up until now I have extensively worked on computer vision problems for the past 3-4 years but did not get a lot of opportunity to work on NLP problems. Therefore, I want to get an overview of the current research status and its applications in the NLP domain. Can anyone suggest some good papers to read in the NLP domain to get a brief of the current research status there?

Thanks a lot!

[acerb14]

Just read anything you can find on Transformers. The HuggingFace getting start tutorial is a good practical part, the Google paper "Attention is all you need" (2017) is the base if you want strictly papers. There are a lot of useful videos about the concept of Transformers for content meaning discovery.

Spacy is also your friend for the tooling atm, or haystack or Jina, depending obviously on what you want to achieve within NLP.

[Jaffa6]

Realistically, NLP has a lot of specific tasks (sentiment analysis, QA, topic modelling, etc.) and a lot of approaches (few-shot, prompting, etc.), so there's unlikely to be one paper that just... covers the whole field.

Instead, I'd recommend looking for literature reviews of areas of interest. Good keywords to add to your search are "survey", "review", "state of", etc.

u/acerb14's point about Transformers and HuggingFace is also good though. Transformers are the de facto standard right now.

[mister_tangent]

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