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
prescription_pseudoephedrine is a muscle	1111	06-jul-2018	99.8
stresa is a city	1111	06-jul-2018	99.7
southend_road is a street	1111	06-jul-2018	100.0
tainter_lake is a trail	1111	06-jul-2018	100.0
community_arena is a stadium or event venue	1111	06-jul-2018	100.0
rolls_royce was responsible for rolls_royce_launches_ghost_series_ii	1114	25-aug-2018	100.0
n1507 is a room in the building newell_simon_hall	1116	12-sep-2018	100.0
little_gas is a generalization of nuclear_missile	1111	06-jul-2018	100.0
dc is a sate or province located in the country usa	1116	12-sep-2018	100.0
microsoft is related to xbox	1115	03-sep-2018	100.0