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
exercise_induced_swollen_lymph_nodes is a lymph node	1111	06-jul-2018	99.5
__president_george_w__bush is a politician	1111	06-jul-2018	100.0
battle_of_great_bridge is a military conflict	1111	06-jul-2018	100.0
belorussian is a language	1111	06-jul-2018	99.6
recources is a visualizable object	1111	06-jul-2018	98.7
president_clinton is a politician who holds the office of former_assistant_secretary	1115	03-sep-2018	93.8
spiders is a type of animals	1112	24-jul-2018	100.0
national is a bank that bought dsp_merrill_lynch	1114	25-aug-2018	100.0
n30_35_minutes has color brown	1111	06-jul-2018	93.8
kbia is headquartered in the city columbia	1116	12-sep-2018	100.0