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
n42_pounds is a currency	1111	06-jul-2018	99.9
fennel_leaves is a vegetable	1111	06-jul-2018	92.2
jewish_herald_voice is a newspaper	1111	06-jul-2018	100.0
ac_forum_hotel is a place to ski	1111	06-jul-2018	96.2
n4_00 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
college is an organization also known as southern	1111	06-jul-2018	99.6
paul_haggis directed the movie crash	1116	12-sep-2018	100.0
the country croatia uses the currency kuna	1116	12-sep-2018	100.0
mcdonalds is a subpart of jack_greenberg	1111	06-jul-2018	100.0
at_t_center is a stadium or event venue located in the city san_antonio	1116	12-sep-2018	93.8