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
bluff_dale_suspension_bridge is a bridge	1111	06-jul-2018	96.6
nuchal_ligament is a vein	1111	06-jul-2018	99.1
bath_screen is an item often found in a bathroom	1111	06-jul-2018	100.0
louisiana_tech_college_sabine_valley_campus is a train station	1111	06-jul-2018	99.5
parkesburg_family_restaurant is a restaurant	1111	06-jul-2018	100.0
cicada_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0
daewoo is a specific automobile maker dealer in los_angeles_ca	1114	25-aug-2018	100.0
right_triangle has shape angle	1112	24-jul-2018	98.4
bed is often found in one_bedroom_cabins	1111	06-jul-2018	96.9
old_kenyon_hall is related to kenyon_college	1116	12-sep-2018	100.0