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
dodecyl_diphenyl_ether_disulphonate_solution is a chemical	1111	06-jul-2018	100.0
last_world_championship is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
n1_3_mi is a parlour game	1111	06-jul-2018	100.0
rio_madeira_poison_dart_frog is an amphibian	1111	06-jul-2018	100.0
lcd_alarm_clock_with_calendar is an item often found in a bedroom	1111	06-jul-2018	99.8
punta_gorda_town is a city that lies on the river peace	1113	15-aug-2018	100.0
chile is a country also known as china	1111	06-jul-2018	93.8
oliver_stone starred in the movie salvador	1111	06-jul-2018	100.0
partner is a subpart of water	1111	06-jul-2018	96.9
e_systems is an organization known by the acronym epam_systems	1116	12-sep-2018	100.0