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
inferior_hypophyseal_artery is a vein	1111	06-jul-2018	97.5
health_insurance_program is a political issue	1111	06-jul-2018	100.0
large_master_suites is an office building room	1111	06-jul-2018	96.6
pangu_plaza_office_building is a skyscraper	1111	06-jul-2018	99.9
icnh is a conference	1111	06-jul-2018	98.7
naval_research_laboratory is headquartered in the country u_s_	1116	12-sep-2018	96.9
paul001 contributed to the creative work abbey	1114	25-aug-2018	96.9
president_elect_obama is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	100.0
youth_soccer is a sport taught in the country __america	1116	12-sep-2018	99.6
johnson001 graduated from high_school	1114	25-aug-2018	93.8