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
royal_melbourne_zoological_gardens is a zoo	1111	06-jul-2018	99.8
tea_tree_shampoo is a personal care product	1111	06-jul-2018	99.4
projection_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
contemporary_economic_policy is a publication	1111	06-jul-2018	90.9
european_english is a language	1111	06-jul-2018	99.3
peachtree_street is a street in the city atlanta	1116	12-sep-2018	100.0
lance_berkman is an athlete who led cardinals_27_23	1116	12-sep-2018	100.0
adnan_ghalib and britney_spears are family members	1111	06-jul-2018	93.8
albert001 was born in the city central_london	1116	12-sep-2018	100.0
carolinas_medical_center is a hospital in the city charlotte	1116	12-sep-2018	96.9