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
texas_h_oldem_poker is a cardgame	1111	06-jul-2018	91.4
chicken_breast_ is a type of meat	1111	06-jul-2018	100.0
gregory_simon is an author in the scientific field of machine learning	1111	06-jul-2018	90.8
odda is a city	1111	06-jul-2018	99.9
western_corn is a grain	1111	06-jul-2018	92.0
ciudad_ju_rez is the capital city of the country mexico	1116	12-sep-2018	100.0
ut is a sate or province located in the country usa	1116	12-sep-2018	100.0
steve001 works for products	1112	24-jul-2018	96.9
karen has spouse don	1116	12-sep-2018	93.8
tennessee_williams_center is related to sewanee	1116	12-sep-2018	100.0