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
beijing_yintai_centre_tower_2 is a skyscraper	1111	06-jul-2018	99.9
joe_sullivan is a CEO	1111	06-jul-2018	100.0
brignoles is a visualizable object	1111	06-jul-2018	98.7
descending_branch_of_hypoglossal_nerve is a nerve	1111	06-jul-2018	98.2
hideki_okajima is a Mexican person	1111	06-jul-2018	100.0
system001 is a subpart of the body within cells	1111	06-jul-2018	100.0
westin is a hotel in the city las_vegas	1116	12-sep-2018	99.6
los_angeles_international is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
peace_corps is headquartered in the country u_s_	1116	12-sep-2018	99.6
linda_hogan has been charged with three_counts_of_negligence	1115	03-sep-2018	100.0