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
carpal_joint is a bone	1116	12-sep-2018	98.2
phoenix_airport is a transportation port	1111	06-jul-2018	100.0
ligamentum_arteriosum is an artery	1111	06-jul-2018	99.9
pat_fusco_s_georgian_moppin__sauce is a condiment	1111	06-jul-2018	99.9
nilutpal_gogoi is a male	1111	06-jul-2018	90.6
paramount_hotel is a hotel in the city new_york	1116	12-sep-2018	100.0
hearst is a company headquartered in the city new_york	1116	12-sep-2018	98.7
pests is a type of snails	1114	25-aug-2018	100.0
anne_perry wrote the book cain_his_brother	1111	06-jul-2018	100.0
theodore_roosevelt represents the region us	1115	03-sep-2018	93.8