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
magic_ball is sports equipment	1111	06-jul-2018	95.4
volvo_160_series_engines is a kind of automobile engine	1111	06-jul-2018	100.0
assembly_meeting is a music festival	1111	06-jul-2018	100.0
n30_06_2009 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
contact_the_highway_department is a book	1111	06-jul-2018	94.5
european_states is a generalization of france_france	1116	12-sep-2018	100.0
republican is a person who has residence in the geopolitical location san_francisco	1112	24-jul-2018	98.4
chen works for youtube	1111	06-jul-2018	100.0
rome is a city located in the geopolitical location italy	1112	24-jul-2018	99.9
salon is headquartered in the city new_york	1116	12-sep-2018	100.0