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
i_m_a_stranger_here_myself is a book	1111	06-jul-2018	100.0
online_drugs is an archaeon	1111	06-jul-2018	95.6
knysna_town_centre is a skyscraper	1111	06-jul-2018	99.9
legal_council is a professional organization	1111	06-jul-2018	100.0
james_keam is a professor	1111	06-jul-2018	91.0
foliage has color red_orange	1111	06-jul-2018	96.9
seoul is the capital city of the country south_korea	1116	12-sep-2018	100.0
abubakar_abdurajak_janjalani belongs to the religion muslim	1116	12-sep-2018	100.0
saint_lawrence_river is a lake in the state or province ontario	1116	12-sep-2018	100.0
snails is a type of organisms	1113	15-aug-2018	99.6