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
ramon_hernandez is american	1111	06-jul-2018	100.0
valuable_investments is an economic sector	1111	06-jul-2018	94.7
ford_fiesta_engines is a kind of automobile engine	1111	06-jul-2018	100.0
n8_8_percentage_points is a machine-learning algorithm	1111	06-jul-2018	93.8
multi_function_massage_chair is an item found on the floor	1111	06-jul-2018	99.8
warburg_pincus is a shareholder in the company mbia	1114	25-aug-2018	100.0
sponges is a type of marine_life	1113	15-aug-2018	100.0
richard_perle belongs to the ethnic group israeli	1116	12-sep-2018	100.0
anne_perry wrote the book a_breach_of_promise	1111	06-jul-2018	99.8
nissan is a specific automobile maker dealer in new_orleans	1114	25-aug-2018	98.4