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
albert_ii_of_germany is a monarch	1111	06-jul-2018	99.1
ellenton is a geopolitical entity that is an organization	1111	06-jul-2018	95.2
icvt is a conference	1111	06-jul-2018	99.5
centro_social_san_p_del_parana is a South American person	1111	06-jul-2018	91.7
arteria_nasalis is an artery	1111	06-jul-2018	99.7
president_george is a person who has residence in the geopolitical location us	1115	03-sep-2018	100.0
insects feeds on spider_mites	1111	06-jul-2018	100.0
championships is the award trophy of the national school_basketball league	1112	24-jul-2018	99.2
union_leader is a newspaper in the city manchester	1116	12-sep-2018	99.2
cairo is the capital city of the country egypt	1116	12-sep-2018	100.0