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
jane_williams is a professor	1111	06-jul-2018	100.0
microfinance_capacity is a character trait	1111	06-jul-2018	99.7
andaman_wood_pigeon is a bird	1112	24-jul-2018	100.0
assistant_principal_athletic_director is a kind of office held by a politician	1111	06-jul-2018	100.0
john_doukas is an astronaut	1111	06-jul-2018	95.2
the loosing score of super_bowl_xvii was nonneginteger:n17	1116	12-sep-2018	100.0
kolo is a TV station in the city reno	1116	12-sep-2018	93.8
the sports leage busch_series uses the venue international_speedway	1114	25-aug-2018	98.4
eve is the mother of sin	1114	25-aug-2018	100.0
jeep makes the automobile jeeps	1114	25-aug-2018	100.0