Great New Resource for Natural Language Processing Research and Applications

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.

Since the original announcement, Ricky has since taken to social media again to let us know that the Super Duper NLP Repo has now been merged to the NLP Index, creating one-stop shopping for SOTA NLP research and code in one spot:

That's 300+ notebooks. So when you now search for a specific task, you should see notebooks, datasets, papers and code all in one spot.

Each entry in the index includes:

• paper title
• paper abstract
• paper authors
• link the paper itself
• graph of connections on Connected Papers
• corresponding GitHub code repository or
• launchable Google Colab code notebook

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, notebooks, 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.

 
Related:

• The NLP Model Forge: Generate Model Code On Demand
• The Big Bad NLP Database: Access Nearly 300 Datasets
• Natural Language Processing Recipes: Best Practices and Examples