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
kosciusko_gmc is an automobile manufacturer	1111	06-jul-2018	95.2
charles_bowen is a criminal	1111	06-jul-2018	100.0
prescription_xanax_effects is a muscle	1111	06-jul-2018	99.8
socio_economic_progress is a socio-political term	1111	06-jul-2018	95.2
kathleen_walsh is an Australian person	1111	06-jul-2018	90.5
cost is an agricultural product that is usually cut into percentage	1114	25-aug-2018	100.0
bmw has acquired mini	1114	25-aug-2018	93.8
dylan is a hotel in the city new_york	1116	12-sep-2018	99.1
little_gas is a generalization of nuclear_missile	1111	06-jul-2018	100.0
ramon_castro plays for the team new_york_mets	1116	12-sep-2018	100.0