NLPGo: Better research through better tools

author: James Hodson, Bloomberg L.P.
published: March 6, 2015,   recorded: February 2015,   views: 3062


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


The problem of sharing, reproducing, extending, and using research plagues almost anyone who attempts to contribute to or leverage the state-of-the-art in AI. We waste hours, days, weeks, and months attempting to recreate results which should be available to us in minutes, let alone extending them and running our own experiments. In collaboration with leading minds in the field, we have developed and actively use NLPGo to alleviate these problems, bring order to our ideas, and discipline to our tasks. NLPGo is a highly scalable and flexible open framework that allows the modular development of complex pipelines in AI and NLP, and already implements many core algorithms. This talk reveals the why and the how. We want to invite and encourage your participation in this community, to make everyone's work more transparent, accessible, and valuable. This is the first announcement of the NLPGo beta release.

See Also:

Download slides icon Download slides: cmuseminars_hodson_nlpgo_01.pdf (631.5┬áKB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: