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
leisure_jacket is a kind of clothing	1111	06-jul-2018	100.0
residence_inn_denver_city_center is a place to ski	1111	06-jul-2018	90.5
tissue_blocks is a musical instrument	1111	06-jul-2018	95.0
wax_candle is a personal care product	1111	06-jul-2018	99.6
commercial_agriculture is an economic sector	1111	06-jul-2018	100.0
rafael_nadal is an athlete who wins wimbledon	1116	12-sep-2018	100.0
jim_marrs wrote the book crossfire	1111	06-jul-2018	100.0
mexico is a country located in the geopolitical location north_america	1111	06-jul-2018	100.0
mufi_hannemann is the leader of the city honolulu	1116	12-sep-2018	100.0
charles_brewer is an athlete who injured his/her mouth001	1114	25-aug-2018	93.8