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
williams_gateway_airport is a transportation system	1111	06-jul-2018	100.0
research_investment is an economic sector	1111	06-jul-2018	99.9
hairstyle_magazines is a kind of media	1111	06-jul-2018	99.6
ronnie_belliard is a Mexican person	1111	06-jul-2018	100.0
woods_land can be a part of a landscape	1111	06-jul-2018	99.1
u_s__sen_ is a person who has residence in the geopolitical location illinois	1116	12-sep-2018	100.0
english is the language of the country u_s_	1116	12-sep-2018	93.8
national is a bank that bought state_bank_of_indore	1114	25-aug-2018	100.0
ravens is a sports team that played in super_bowl	1113	15-aug-2018	99.9
the companies sky___telescope_magazine and new_york compete with eachother	1111	06-jul-2018	93.8