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
pesto_dressing is a visualizable thing	1111	06-jul-2018	96.0
john_gayle is an astronaut	1111	06-jul-2018	99.7
polk_county_judge is a judge	1111	06-jul-2018	97.4
affiliated_sites is a criminal	1111	06-jul-2018	100.0
belarusian_democratic_republic is a country	1111	06-jul-2018	97.4
lg_electronics_inc was responsible for lg_2014_smart_tvs__everything_you_need_to_know	1115	03-sep-2018	100.0
super_bowl_xliv_the_indianapolis_colts hired dungy	1113	15-aug-2018	100.0
the sport baseball was played at n1937_world_series	1116	12-sep-2018	100.0
south_carolina_aquarium is an aquarium in the city charlotte	1116	12-sep-2018	100.0
rob_ford is the leader of the city toronto	1116	12-sep-2018	100.0