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
em_poker_strategies is a sporting event	1111	06-jul-2018	100.0
pan_juices is a visualizable thing	1111	06-jul-2018	98.6
joanna_tuczynska is a fashion model	1111	06-jul-2018	100.0
unforgivable_offence ia a crime or charge	1111	06-jul-2018	100.0
nintendo_super_famicom is a video game system	1111	06-jul-2018	99.7
receiver_dez_bryant and kendall_hunter are teammates	1111	06-jul-2018	93.8
los_angeles_lakers is headquartered in the state or province new_york	1116	12-sep-2018	100.0
p__vivax is a bacteria that causes malaria	1115	03-sep-2018	93.8
city_of_westminster is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
miller001 was born in the city orleans	1116	12-sep-2018	100.0