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
west_burlington_campus is a train station	1111	06-jul-2018	92.6
mount_batanta is a mountain	1111	06-jul-2018	100.0
carolina_governor is a kind of office held by a politician	1111	06-jul-2018	100.0
california_society_of_addiction_medicine is a professional organization	1111	06-jul-2018	92.1
chocolate_fudge_brownie is a baked good	1111	06-jul-2018	100.0
states is a state or province located in the geopolitical location community	1115	03-sep-2018	100.0
jobs is a person who moved to the state idaho	1115	03-sep-2018	99.9
felipe_lopez plays the sport baseball	1116	12-sep-2018	98.8
hank_stram coaches the team kansas_city_chiefs	1116	12-sep-2018	99.2
conference_room is a room in the building mellon_institute	1116	12-sep-2018	100.0