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
conversion_table is an item found on the floor	1111	06-jul-2018	99.8
m_4_carbine is a weapon	1111	06-jul-2018	96.3
isa_conferences is a conference	1111	06-jul-2018	99.4
stove is an item	1111	06-jul-2018	100.0
paenibacillus is a bacterium	1111	06-jul-2018	96.3
harris_methodist is a hospital in the city fort_worth	1116	12-sep-2018	98.0
tux is a clothing item to go with boots	1111	06-jul-2018	93.8
the sport baseball was played at n1946_world_series	1116	12-sep-2018	100.0
main_street_station is a building located in the city las_vegas	1116	12-sep-2018	93.0
paul001 contributed to the creative work gospel	1114	25-aug-2018	96.9