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
claude_miller is a director	1111	06-jul-2018	100.0
bath_community is an item often found in a bathroom	1111	06-jul-2018	99.9
terence_hill_and_bud_spencer ia a celebrity	1111	06-jul-2018	90.6
jeannie_carson is a female	1111	06-jul-2018	100.0
earnest_byner is an athlete	1111	06-jul-2018	96.0
richard_wright contributed to the creative work black_boy	1111	06-jul-2018	100.0
edward_johnson represents the region states	1114	25-aug-2018	100.0
hapkido is a sport taught in the country south_korea	1116	12-sep-2018	100.0
aquarium_berlin is an aquarium in the city berlin	1116	12-sep-2018	100.0
the sports team eventual_super_bowl_champion_new_york_giants was the winner of n1905_world_series	1116	12-sep-2018	100.0