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
futon_sleeper_sofa is a household item	1111	06-jul-2018	92.9
n1993_school_election is an election	1111	06-jul-2018	95.3
jacob_diekman is an Asian person	1111	06-jul-2018	100.0
starachowice is a city	1111	06-jul-2018	99.8
california_county is an airport	1111	06-jul-2018	100.0
charles_krauthammer is a journalist that writes for the publication washington	1113	15-aug-2018	99.2
april_14 is the time of the event n70_killed_in_nigeria_bus_blasts	1116	12-sep-2018	100.0
johnson001 graduated from state_university	1114	25-aug-2018	100.0
george_gershwin is a musician who plays the piano	1116	12-sep-2018	100.0
white_mountain_peak is related to north_america	1111	06-jul-2018	100.0