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
los_angeles_convention_center is a stadium or event venue	1111	06-jul-2018	90.2
araneus_mauensis_ocellatus is an arachnid	1111	06-jul-2018	100.0
little_ziegenfuss is a lake	1111	06-jul-2018	100.0
bathrooms___kitchens is a kind of room	1111	06-jul-2018	99.6
franco_ambrosetti is a musician	1111	06-jul-2018	99.8
carroll plays the athletic team position right_center	1113	15-aug-2018	93.8
venice_marco_polo_airport is a generalization of temple_of_the_reclining_buddha	1115	03-sep-2018	100.0
soho is a park in the city nueva_york	1116	12-sep-2018	100.0
ashley_tisdale starred in the movie high_school_musical	1113	15-aug-2018	100.0
novak_djokovic is an athlete who wins aussie_open	1116	12-sep-2018	96.9