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
n21_9 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
embassy_suites_denver_downtown is a tourist attraction	1111	06-jul-2018	94.3
possession_offences ia a crime or charge	1111	06-jul-2018	100.0
jack_ketchum is a writer	1111	06-jul-2018	97.9
carbon_steel_coils is a building material	1111	06-jul-2018	98.2
the home stadium of jeff_samardzija is wrigley_field	1116	12-sep-2018	100.0
clinton_white is related to english	1116	12-sep-2018	100.0
lisa_marie_presley got married in n1994	1116	12-sep-2018	100.0
the country italy uses the currency euros	1116	12-sep-2018	99.8
art_shell coaches the team nfl_oakland_raiders	1116	12-sep-2018	96.9