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
kamloops_airport is a transportation port	1111	06-jul-2018	100.0
bmx_freestyle___racing is a sport	1111	06-jul-2018	100.0
green_hill_farm is a farm	1111	06-jul-2018	99.9
deinopidae is an arthropod	1111	06-jul-2018	95.1
azalea_bark_scale is an invertebrate	1111	06-jul-2018	100.0
baja_california is a state that is bordered by the state california	1113	15-aug-2018	98.4
spinal_cord is a subpart of the body within system	1111	06-jul-2018	100.0
israel was born in jericho	1116	12-sep-2018	96.9
bed is often found in private_cottage	1111	06-jul-2018	100.0
clinton is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	99.9