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
eastland_hyundai is an automobile manufacturer	1111	06-jul-2018	99.8
em_poker_texas_hole_em_poker is a non-sports, non-electronic game	1111	06-jul-2018	100.0
forest_hill_area is a monument	1111	06-jul-2018	99.9
fremont_hotel_and_casino_las_vegas is a tourist attraction	1111	06-jul-2018	94.3
associate_chairman is a kind of office held by a politician	1111	06-jul-2018	100.0
national is a company that has an office in the country cyprus	1114	25-aug-2018	100.0
nato_members is a generalization of france_france	1116	12-sep-2018	100.0
mike_myers starred in the movie austin_powers	1115	03-sep-2018	99.9
tecumseh has brother tenskwatawa	1116	12-sep-2018	100.0
dee_brown plays in the league nba	1116	12-sep-2018	100.0