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
turkish_elections is an election	1111	06-jul-2018	98.4
shabda_raaj is a journalist	1111	06-jul-2018	94.8
san_joaquin_gmc is a company	1111	06-jul-2018	95.5
national_meeting is a music festival	1111	06-jul-2018	100.0
german_wasp is an arthropod	1111	06-jul-2018	98.5
b_muthuraman works for tata	1112	24-jul-2018	100.0
postal_mail is an organization known by the acronym ups_express	1116	12-sep-2018	93.8
the_south_china_morning_post is a newspaper in the city hong_kong	1116	12-sep-2018	100.0
animals is an animal that preys on spiders	1111	06-jul-2018	100.0
woody_williams is an athlete that flied out to position center	1111	06-jul-2018	100.0