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
t_j__lavin is an actor	1111	06-jul-2018	95.6
country_india_state_karnataka_this_article is a legislative bill	1111	06-jul-2018	93.1
nonyl_phenol_ethoxylate is a chemical	1111	06-jul-2018	100.0
wholesale_information is a scientific term	1111	06-jul-2018	100.0
mexico___zt is a country	1111	06-jul-2018	96.9
paul001 contributed to the creative work gospel	1114	25-aug-2018	96.9
polo is a sport taught in the country __america	1116	12-sep-2018	99.2
vre is a bacteria that causes infection	1115	03-sep-2018	96.9
the sport baseball was played at n1996_world_series	1116	12-sep-2018	100.0
toronto_s_historic_museums is a museum in the city toronto	1116	12-sep-2018	100.0