Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
sliced_steak is a type of meat	1111	06-jul-2018	99.0
real_rock is a genre of music	1111	06-jul-2018	99.5
i_hear_a_symphony is a song	1111	06-jul-2018	100.0
aluminum_clad_doors is something found in or on buildings	1111	06-jul-2018	98.2
interface_plugin_parameters is a machine-learning conference	1111	06-jul-2018	97.6
bullhead_city is a subpart of arizona	1111	06-jul-2018	98.4
link looks like cable	1112	24-jul-2018	98.4
charles_krauthammer is a journalist that writes for the publication washington	1113	15-aug-2018	99.2
oscar_wilde wrote the book picture_of_dorian_gray	1113	15-aug-2018	99.2
ted_waitt is the CEO of gateway_2000001	1116	12-sep-2018	97.1