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
dining_room_upstairs is a kind of room	1111	06-jul-2018	99.6
valuable_grain is a grain	1111	06-jul-2018	92.7
dodge_super_bee is a model of automobile	1111	06-jul-2018	92.1
gennadi_kolesnikov is an astronaut	1111	06-jul-2018	100.0
rita_farrell coaches a sports team	1111	06-jul-2018	91.4
charles_krauthammer is a journalist that writes for the publication washington	1113	15-aug-2018	99.2
lord and jerusalem are siblings	1112	24-jul-2018	98.4
afghanistan is a country also known as china	1111	06-jul-2018	93.8
kohala is a mountain in the state or province hawaii	1116	12-sep-2018	99.9
triangle has shape peak	1112	24-jul-2018	93.8