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
sushmita_sen__aishwarya_rai ia a celebrity	1111	06-jul-2018	90.7
n5_4_overtime_loss is an event outcome	1111	06-jul-2018	100.0
interface_attributeset_parameters is a machine-learning conference	1112	24-jul-2018	97.9
violet_violet is a visualizable attribute	1111	06-jul-2018	90.6
modern_language_association_conference is a conference	1111	06-jul-2018	99.5
ectoparasites feeds on lice	1111	06-jul-2018	96.9
dan_pike is the leader of the city bellingham	1116	12-sep-2018	93.8
porno_para_ricardo is a musician in the genre punk	1112	24-jul-2018	93.8
tyco_healthcare hired dennis_kozlowski	1112	24-jul-2018	100.0
crustaceans is a type of lobster	1113	15-aug-2018	100.0