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
n14_1_this_agreement is a legislative bill	1111	06-jul-2018	95.1
psp_memory_stick_4gb is a consumer electronic device	1111	06-jul-2018	100.0
lexus_lx_engines is a kind of automobile engine	1111	06-jul-2018	100.0
timely_pet is an animal	1112	24-jul-2018	93.6
dgs_students is a victim	1111	06-jul-2018	95.5
red_sox is an organization created at the date n1901	1116	12-sep-2018	100.0
lewis wrote the book mere_christianity	1113	15-aug-2018	96.9
steve001 works for end	1112	24-jul-2018	93.8
alicia is a person who graduated from the university state_university	1113	15-aug-2018	99.6
whoopi_goldberg starred in the movie ghost	1116	12-sep-2018	96.9