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
harmony_lake is a trail	1111	06-jul-2018	100.0
bryce_anderson is a journalist	1111	06-jul-2018	100.0
way_the_door is an item often found in a hallway	1111	06-jul-2018	99.7
bipolar_type is a disease	1111	06-jul-2018	94.0
juice_cereal is a food	1111	06-jul-2018	97.8
article has citizenship in the country abm_treaty	1114	25-aug-2018	100.0
sky_harbor_international is a building located in the city downtown_phoenix	1116	12-sep-2018	100.0
belfast_zoo is a zoo in the city belfast	1116	12-sep-2018	100.0
european_champion_clubs__cup is a awardtrophytournament that was awarded in stadiumoreventvenue allianz_arena	1112	24-jul-2018	100.0
hounslow is a park in the city central_london	1116	12-sep-2018	100.0