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
n12148 is a ZIP code	1111	06-jul-2018	99.4
canada_states is a country	1111	06-jul-2018	97.5
aluminum_lithium_alloy is a building material	1111	06-jul-2018	100.0
dean_deblois is a commedian	1111	06-jul-2018	100.0
col_nac_bernardino_caballero is a South American person	1111	06-jul-2018	97.0
pegintron is a drug worked on by merck	1114	25-aug-2018	96.9
missile is a type of weapon produced in russia	1113	15-aug-2018	100.0
math__monkeys__and_the_developing_brain occurrs in the room social_room_328	1116	12-sep-2018	100.0
riverside is a city located in the geopolitical location california	1111	06-jul-2018	99.5
the_new_york_times is a newspaper in the city new_york	1116	12-sep-2018	100.0