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
john_madsen is a chef	1111	06-jul-2018	100.0
lymbyc_systym is a musical artist	1111	06-jul-2018	96.2
chaucer_s_choice_cheese is a cheese	1111	06-jul-2018	96.6
fuel_petrol is a refinery product	1112	24-jul-2018	99.5
forested_wetlands can be a part of a landscape	1111	06-jul-2018	99.5
israeli_citizens participated in the event result	1111	06-jul-2018	96.9
jay_smith died in the city wilkes_barre	1116	12-sep-2018	100.0
national is a bank in portugal	1114	25-aug-2018	100.0
wdiv is a TV station in the city detroit	1116	12-sep-2018	100.0
billboard terminated the employment of number	1114	25-aug-2018	99.6