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
n6_9_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.7
wmal_tv is a TV station	1111	06-jul-2018	99.1
poker_texasholdem is a board game	1111	06-jul-2018	100.0
otros_trabajos is a currency	1111	06-jul-2018	99.9
kincardineshire is a county	1111	06-jul-2018	91.6
kathy graduated from college	1114	25-aug-2018	100.0
dodgers is headquartered in the state or province ny	1116	12-sep-2018	93.8
joseph_conrad contributed to the creative work nostromo	1111	06-jul-2018	100.0
federal_aviation_administration is headquartered in the country us	1116	12-sep-2018	100.0
west_bengal is a state or province located in the geopolitical location india	1115	03-sep-2018	99.8