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
toxic_drugs is an archaeon	1111	06-jul-2018	91.9
cathedral_priory is a place of worship	1111	06-jul-2018	99.8
n18_27 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
barley_seeds is a grain	1112	24-jul-2018	96.5
computer_chairs is an item found on the floor	1111	06-jul-2018	100.0
amman is the capital city of the country jordan	1116	12-sep-2018	100.0
mary is the parent of son	1111	06-jul-2018	91.1
usa is a country also known as china	1111	06-jul-2018	98.4
peugeot is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0
manipur is a sate or province located in the country india	1116	12-sep-2018	100.0