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KDnuggets Home » News » 2021 » Apr » Tutorials, Overviews » Introducing The NLP Index ( 21:n17 )

Introducing The NLP Index


The NLP Index is a brand new resource for NLP code discovery, combining and indexing more than 3,000 paper and code pairs at launch. If you are interested in NLP research and locating the code and papers needed to understand an implement the latest research, you should check it out.



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The NLP Index

 

With all of the massive and relentless advancements of natural language processing recently, keeping up with research breakthroughs and SOTA practices can be fraught with challenges. Where to find papers, which papers present which ideas, tracking down code that goes along with papers, these are all very real struggles. What if there was a single spot you could go to get the jump on all of these different activities, and come away with everything you need to keep up with the NLP Joneses?

If you haven't heard, Ricky Costa, CEO at Quantum Stat, very recently announced the launch of The NLP Index. Ricky describes the NLP index as "a new asset in NLP code discovery," and goes on to say:

 

It has over 3,000 code repositories and I’ve already created a nice side bar with some of the most important topics in NLP today! The search engine is search as your type and typo tolerant (it’s crazy fast). The index includes the research paper, graphs with related papers, and GitHub repo.

 

Each entry in the index includes a paper title, its abstract, and the authors, as well as links to the paper itself, a corresponding GitHub repository, and a graph of connections on Connected Papers.

Quantum Stat has previously brought the community resources such as The NLP Model Forge and The Big Bad NLP Database. In this regard, The NLP Index is the next logical step, combining different aspects of NLP research papers, code, and discovery into a single resource.

Ricky claims that "The NLP Index is currently the most comprehensive knowledge source in learning NLP right now." This would be a difficult claim to dispute, given the number of entries it already has.

If you are interested in NLP research and locating the code and papers needed to understand an implement the latest research, you should check out The NLP Index.

 
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