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
nieuwegein is a visualizable scene	1111	06-jul-2018	99.4
jose_reyes is american	1111	06-jul-2018	100.0
montana_food is a food	1111	06-jul-2018	98.6
st_john_river is a river	1111	06-jul-2018	100.0
n3_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.5
toyota is a specific automobile maker dealer in pennsylvania	1115	03-sep-2018	100.0
grape is an agricultural product produced in __america	1116	12-sep-2018	100.0
sue_grafton contributed to the creative work s_is_for_silence	1111	06-jul-2018	100.0
wall_street_journal is a newspaper in the city new_york	1116	12-sep-2018	100.0
blanchard is a city located in the state or province oklahoma	1116	12-sep-2018	93.8