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
wil_ledezma is a Mexican person	1111	06-jul-2018	99.6
news_target is a publication	1111	06-jul-2018	90.6
yoder_and_fry_farm is a farm	1111	06-jul-2018	99.8
istro_romanian is a language	1111	06-jul-2018	99.5
mohen_naorem is a writer	1111	06-jul-2018	91.2
the companies post and chicago001 compete with eachother	1111	06-jul-2018	98.4
spiders is an arthropod that looks like flies	1111	06-jul-2018	100.0
the coach tony_fernandez won the trophy or tournament world_series	1113	15-aug-2018	100.0
the country gibraltar uses the currency pounds	1116	12-sep-2018	100.0
medecins_sans_frontieres is an organization also known as doctors_without_borders	1111	06-jul-2018	100.0