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
green_front_door is an item often found in a hallway	1111	06-jul-2018	99.7
movie_edward_scissorhands is a movie	1111	06-jul-2018	100.0
wine_manager is a profession	1111	06-jul-2018	95.6
conrad_n__hilton_foundation is a part of the government	1111	06-jul-2018	100.0
brian_connolly is a commedian	1111	06-jul-2018	100.0
the home stadium of steve_montador is wrigley_field	1116	12-sep-2018	100.0
king_solomon has citizenship in the country israel	1114	25-aug-2018	99.7
los_angeles_ca is a city also known as llan	1111	06-jul-2018	100.0
jonathan_van_every is an athlete who injured his/her arms	1115	03-sep-2018	99.2
the sports leage mlb uses the venue comerica	1114	25-aug-2018	100.0