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
amy_jarvis is a North American person	1111	06-jul-2018	91.3
movie_hudson_hawk is a movie	1111	06-jul-2018	100.0
brooks_mountain is a mountain	1111	06-jul-2018	100.0
marsabit_national_park is a zoo	1111	06-jul-2018	99.9
iorio_arena is a stadium or event venue	1111	06-jul-2018	100.0
blue_note terminated the employment of alfred_lion	1112	24-jul-2018	100.0
burien is a city located in the geopolitical location washington	1113	15-aug-2018	100.0
foliage has color golden_yellow	1111	06-jul-2018	99.6
sport_fishing is a sport with fans in the country __america	1116	12-sep-2018	100.0
burlington_international is an attraction that will be fall in city burlington	1116	12-sep-2018	93.8