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
gathering_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
poker_gamlbers is a cardgame	1111	06-jul-2018	91.7
thomas_wood is an architect	1111	06-jul-2018	100.0
you_don_t_know is a song	1111	06-jul-2018	100.0
rutgers is a school	1116	12-sep-2018	100.0
battersea_park_zoo is a zoo in the city central_london	1116	12-sep-2018	100.0
theodor_kollek is a person born on the date n1911	1116	12-sep-2018	100.0
blessed_virgin_mary is the mother of child	1116	12-sep-2018	93.8
nangarhar is a sate or province located in the country afghanistan	1116	12-sep-2018	100.0
lyndon_baines_johnson represents the region u_s_	1116	12-sep-2018	93.8