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
humberto_fuentes is a professor	1111	06-jul-2018	91.3
n6_07_pm is a time	1111	06-jul-2018	100.0
assateague_island_national_park is a monument	1111	06-jul-2018	99.8
food_recipes_with_pictures is a recipe	1111	06-jul-2018	99.6
april_17_issue is a publication	1111	06-jul-2018	91.2
the sports leage nba uses the venue toyota_center	1114	25-aug-2018	100.0
ryan_church is an athlete who led new_york_mets	1116	12-sep-2018	100.0
amway_arena is a stadium or event venue located in the city orlando	1116	12-sep-2018	96.9
murder_weapon is a generalization of nuclear_missile	1115	03-sep-2018	100.0
john_thain works for nyse	1111	06-jul-2018	93.8