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
yellow_spotted_tropical_night_lizard is a reptile	1111	06-jul-2018	100.0
n6_19_pm is a time	1111	06-jul-2018	100.0
the_paul_o_grady_show is a TV show	1111	06-jul-2018	100.0
jelly_beans__tropical_mix is a kind of candy	1111	06-jul-2018	98.5
genetic_information_non_discrimination_act is a legislative bill	1111	06-jul-2018	97.2
science is an academic program at the university george_washington_university__s_elliott_school	1114	25-aug-2018	93.8
the country britain uses the currency pounds	1116	12-sep-2018	100.0
jelena_jankovic is an athlete who beat maria_sharapova	1114	25-aug-2018	100.0
toyotas is a product produced in __america	1116	12-sep-2018	93.8
billboard terminated the employment of number	1114	25-aug-2018	99.6