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
n41_club_cave is a cave	1111	06-jul-2018	100.0
foreign_national_students is a victim	1111	06-jul-2018	100.0
belorussian is a language	1111	06-jul-2018	99.6
demand_printing is a visualizable attribute	1111	06-jul-2018	91.0
oecobiidae is an arthropod	1111	06-jul-2018	97.3
orb_weaver is called spider	1116	12-sep-2018	100.0
tommy_amaker coaches the team harvard_radcliffe	1116	12-sep-2018	99.2
national is a company that has an office in the country greece	1114	25-aug-2018	100.0
kiruna is a city located in the country sweden	1116	12-sep-2018	93.8
jonathan_van_every is an athlete who injured his/her arms	1115	03-sep-2018	99.2