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
talk_atlantic_records_group is a record label	1111	06-jul-2018	97.7
table_thing is a household item	1111	06-jul-2018	92.6
male_atoll is a state or a province	1111	06-jul-2018	96.9
pompano_dolphin is a fish	1111	06-jul-2018	100.0
privet_rust_mite is an arthropod	1111	06-jul-2018	100.0
paul001 contributed to the creative work romans	1114	25-aug-2018	100.0
w_los_angeles_westwood is a hotel in the city los_angeles_ca	1116	12-sep-2018	93.8
mammals is an animal that eats seeds	1115	03-sep-2018	100.0
bangui is a city that lies on the river ubangi	1112	24-jul-2018	93.8
the coach jorge_posada won the trophy or tournament world_series	1115	03-sep-2018	100.0