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
system_families is a video game system	1111	06-jul-2018	95.2
rhodococcus_kunmingensis is a bacterium	1111	06-jul-2018	100.0
importance_process is a cognitive action	1111	06-jul-2018	99.9
carnon is a geopolitical entity that is a location	1111	06-jul-2018	92.2
felton_spencer is an athlete	1111	06-jul-2018	91.2
four_queens is a building located in the city las_vegas	1116	12-sep-2018	99.2
bexley is a park in the city central_london	1116	12-sep-2018	100.0
adrian_fenty is the leader of the city dc	1116	12-sep-2018	100.0
split is the capital city of the state or province dalmatia	1116	12-sep-2018	99.2
chevrolet is a company that produces ford_taurus	1114	25-aug-2018	93.8