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
casual_shots is a weapon	1111	06-jul-2018	95.5
corner_room is a kind of room	1111	06-jul-2018	99.7
maserati_3200_gt is a model of automobile	1111	06-jul-2018	100.0
bennys_restaurant is a restaurant	1111	06-jul-2018	100.0
banana_phone is an item found on a table	1111	06-jul-2018	90.9
the home stadium of ben_eager is wrigley_field	1116	12-sep-2018	100.0
chinese is a language used in the university ohio_state_university	1116	12-sep-2018	96.9
melanie is a person who has attended the school college	1114	25-aug-2018	100.0
theodor_kollek belongs to the religion jew	1116	12-sep-2018	100.0
football_players is a generalization of bruce_gradkowski	1115	03-sep-2018	100.0