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
canada_similiar_pages is a country	1111	06-jul-2018	98.3
n10_18_11 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
possible_defeat is an event outcome	1111	06-jul-2018	99.9
chrome_accessories is an item often found in a bathroom	1111	06-jul-2018	99.7
atlas_mountain is a mountain	1111	06-jul-2018	100.0
mike is a person who moved to the state texas	1115	03-sep-2018	98.4
sony is a company in the economic sector of consumer_electronics	1111	06-jul-2018	100.0
louise_story is a journalist that writes for the publication new_york_times	1111	06-jul-2018	98.4
kathmandu is the capital city of the country nepal	1116	12-sep-2018	100.0
republican is a person who has residence in the geopolitical location new_hampshire	1115	03-sep-2018	100.0