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
stella_cilento is a visualizable scene	1111	06-jul-2018	99.7
journal_energy is a publication	1111	06-jul-2018	95.5
golden_tree_snake is a reptile	1111	06-jul-2018	100.0
farmers_and_merchants_bank_of_long_beach is a bank	1111	06-jul-2018	100.0
muscle_car_magazines is a kind of media	1111	06-jul-2018	99.0
la_habana is the capital city of the country cuba	1116	12-sep-2018	99.9
scandinavian_countries is a generalization of eastern_european_countries	1115	03-sep-2018	100.0
bed is often found in northeast_bedroom	1116	12-sep-2018	93.8
steven_derounian is a person who has residence in the country us	1115	03-sep-2018	100.0
emperor_meiji is a person who died on the date n1912	1116	12-sep-2018	100.0