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
thursday_12_november is a date	1111	06-jul-2018	100.0
iglesia_san_vicente is a South American person	1111	06-jul-2018	92.9
curing_phase is a non-disease physiological condition	1111	06-jul-2018	98.5
port_of_limay_porcheville is a transportation port	1111	06-jul-2018	100.0
swarovski_crystal_pearls is a visualizable attribute	1111	06-jul-2018	90.0
adam_wainwright plays in the league nfl	1116	12-sep-2018	90.2
baltimore_washington is an airport in the city baltimore	1116	12-sep-2018	100.0
the companies texas_tribune and new_york compete with eachother	1111	06-jul-2018	99.6
enquirer is a company headquartered in the city new_york	1116	12-sep-2018	100.0
delmonico_s_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0