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
sabine_ehrenfeld is an Australian person	1111	06-jul-2018	95.6
preserved_lemons is a fruit	1111	06-jul-2018	99.5
single_estate_tea is a beverage	1111	06-jul-2018	100.0
online_citizen is a publication	1111	06-jul-2018	94.3
joseph_carpenter is a U.S. politician	1111	06-jul-2018	100.0
credit_suisse is a company that has an office in the country switzerland_switzerland	1114	25-aug-2018	93.8
larry_bowa plays the athletic team position player	1114	25-aug-2018	93.8
house hired state	1111	06-jul-2018	99.6
brain_maps_to_mechanisms__neural_circuit_molecular_architecture occurrs in the room room_1495	1116	12-sep-2018	100.0
china is a country located in the geopolitical location members001	1111	06-jul-2018	100.0