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
day_3__day is a date	1111	06-jul-2018	93.6
melissa_tanner is a fashion model	1111	06-jul-2018	91.1
varsity_arena is a stadium or event venue	1111	06-jul-2018	100.0
sugar_cups is a fruit	1112	24-jul-2018	99.6
dog_door is an item often found in a hallway	1111	06-jul-2018	100.0
deron_williams coaches the team new_orleans_jazz	1116	12-sep-2018	93.8
hamilton_college is a sports team that plays in the league international	1116	12-sep-2018	93.8
brett_tomko plays the sport baseball	1116	12-sep-2018	99.2
seattle_seahawks_21_10 is a sports team that plays the sport football	1116	12-sep-2018	100.0
pudong is a city that lies on the river huangpu	1111	06-jul-2018	100.0