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
manchester_days_inn is a hotel	1111	06-jul-2018	94.7
una_persona_que is a currency	1111	06-jul-2018	99.8
shut_door is something found in or on buildings	1111	06-jul-2018	98.3
baseball_jackets is a kind of clothing	1111	06-jul-2018	100.0
paper_doors is an item often found in a hallway	1111	06-jul-2018	100.0
nerves is a subpart of the body within canal	1111	06-jul-2018	99.8
luis_castillo is an athlete that flied out to position center	1111	06-jul-2018	100.0
the country guyana uses the currency dollars	1116	12-sep-2018	100.0
phylloxera is called louse	1113	15-aug-2018	100.0
merck has acquired schering_plough	1114	25-aug-2018	99.2