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
environmental_rights is a socio-political term	1111	06-jul-2018	100.0
principal_law_clerk is a job position	1111	06-jul-2018	98.7
n10_30_a_m__2_p_m_ is a time	1111	06-jul-2018	100.0
hair_coloring is a personal care product	1111	06-jul-2018	99.0
lovely_en_suite_bathroom is an office building room	1111	06-jul-2018	97.3
brad_penny is an athlete that flied out to position center	1111	06-jul-2018	100.0
china is a country located in the geopolitical location africa	1111	06-jul-2018	93.8
kathy graduated from college	1114	25-aug-2018	100.0
central_park is a park in the city new_york	1116	12-sep-2018	100.0
marques_colston and brees are teammates	1112	24-jul-2018	93.8