Today I would like to present to you…
Codeq NLP API is the new platform that we have created to offer access to all the technology we built for Courier plus an increasing number of NLP modules that we are carefully crafting.
This NLP API features all the basic low level modules that any NLP practitioner or student may need: language identification, tokenization, sentence splitting, stopword removal, stemming, true casing, POS-tagging, lemmatization, dependency parsing, chunking, named entity recognition, and coreference resolution.
We have recently added, though, a module that we’re very proud of: semantic role labeling. This is a fantastic addition to our set of low level NLP tools that allows for a deeper semantic understanding of the underlying meaning of sentences.
However, the fun does not stop there. We at Codeq recognize that NLP practitioners are not the only ones who would benefit from a comprehensive set of tools to unlock meaning and understanding from unstructured text.
Codeq NLP API also features more high level NLP modules that will empower non-NLP versed developers to build powerful applications with them. We are planning on writing specific posts dedicated to each of these powerful high level modules, but for the time being let it suffice this succinct description of each of them:
In this post I have introduced Codeq NLP API and briefly discussed its capabilities, as well as the path that got us here. Courier was an awesome project that helped us introduce the world to the technologies Codeq is building.
But today Codeq is all about our NLP API. For more information, please visit our website. There you will be able to play around with all these tools and learn about specific use cases that showcase and exemplify powerful workflows that leverage the NLP modules that our API offers.
The show must go on!!