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
discourse_computer is an item found on a table	1111	06-jul-2018	99.8
huffington_post is a TV network	1116	12-sep-2018	100.0
diversified_communications_tower is a skyscraper	1111	06-jul-2018	100.0
mark_robinson is a European person	1111	06-jul-2018	100.0
board_certified_psychiatrist is a job position	1111	06-jul-2018	94.8
national is a bank in peru	1114	25-aug-2018	100.0
chris_martin has wife gwyneth_paltrow	1116	12-sep-2018	99.8
president_bill_clinton001 is related to president_bill_clinton	1116	12-sep-2018	100.0
leif_johansson is the CEO of the automobile maker company volvo	1116	12-sep-2018	100.0
nuclear_warheads is a type of weapon produced in russia	1113	15-aug-2018	99.8