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
bienville_house_hotel is a place to ski	1111	06-jul-2018	95.3
enlarged_lymph_nodes_dogs is a lymph node	1111	06-jul-2018	99.9
joshua_malina is a fashion model	1111	06-jul-2018	100.0
aquarium_supply_s is a retail store	1111	06-jul-2018	99.5
oak_woodland can be a part of a landscape	1111	06-jul-2018	98.3
calibrating_the_world_s_photos_with_a_massive_3d_database occurrs in the building newell_simon_hall	1116	12-sep-2018	100.0
hounslow is a park in the city central_london	1116	12-sep-2018	100.0
uk_airports is a generalization of london_city	1115	03-sep-2018	99.8
kohala is a mountain in the state or province hawaii	1116	12-sep-2018	99.9
european_countries is a generalization of denmark	1116	12-sep-2018	99.9