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
tour_de_la_cote_picarde is a sports race	1111	06-jul-2018	100.0
cornish_national_party is a terrorist organization	1111	06-jul-2018	99.6
weapons_usable_material is a weapon	1111	06-jul-2018	98.5
italy___milan is a country	1111	06-jul-2018	98.4
levels_c_ervical_lymph_nodes is a lymph node	1111	06-jul-2018	99.4
the country __america uses the currency dollars	1116	12-sep-2018	100.0
david_brooks is a journalist that writes for the publication times	1111	06-jul-2018	93.8
meal can cause blood_sugar	1113	15-aug-2018	98.6
viacom has acquired mtv	1114	25-aug-2018	100.0
journal is a newspaper in the city new_york	1116	12-sep-2018	100.0