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
n1_1_2_minutes is a visualizable object	1111	06-jul-2018	99.3
games_online_games is software	1111	06-jul-2018	100.0
discovery_quality is a character trait	1111	06-jul-2018	99.7
mewari_dialect is a language	1111	06-jul-2018	98.7
rick_dean ia a celebrity	1111	06-jul-2018	97.6
route is a street in the city boston	1116	12-sep-2018	100.0
marineland is an aquarium in the city niagara_falls	1116	12-sep-2018	100.0
the companies the_new_york_times and chicago001 compete with eachother	1111	06-jul-2018	99.9
macneillie is a specific automobile maker dealer in _uk	1116	12-sep-2018	98.4
new_orleans_saints is a sports team that won the super_bowl	1115	03-sep-2018	100.0