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
charles_barkley is a journalist	1111	06-jul-2018	100.0
prosecution_action is a cognitive action	1111	06-jul-2018	100.0
saab_92x_engines is a kind of automobile engine	1111	06-jul-2018	100.0
arteria_volaris_digitalis is an artery	1111	06-jul-2018	99.2
maureen_smith is a writer	1111	06-jul-2018	100.0
snails is a type of creatures	1113	15-aug-2018	100.0
the coach troy_smith won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
wkyc_tv is a TV station in the city cleveland	1116	12-sep-2018	100.0
master held the position of king	1116	12-sep-2018	93.8
national is a bank that bought dsp_merrill_lynch	1114	25-aug-2018	100.0