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
domenico_bianchi_francois_auguste_biard is an architect	1111	06-jul-2018	100.0
boneless_chicken_breasts is a type of meat	1111	06-jul-2018	100.0
precision_mold is a fungus	1111	06-jul-2018	97.6
motorola_phones is a consumer electronic device	1111	06-jul-2018	94.9
n2_8 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
taxpayers hired white	1113	15-aug-2018	99.8
washington_road is a street in the city augusta	1116	12-sep-2018	100.0
golfing is a sport with fans in the country __america	1116	12-sep-2018	99.8
hubert_h__humphrey_metrodome is a stadium or event venue located in the city minneapolis	1116	12-sep-2018	98.4
randall_forsberg is a person who has residence in the country us	1115	03-sep-2018	100.0