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
japan_studies_association is a professional organization	1111	06-jul-2018	90.7
six_misdemeanor_counts ia a crime or charge	1111	06-jul-2018	100.0
susan_ducey is a U.S. politician	1111	06-jul-2018	99.9
martin_damm is an athlete	1111	06-jul-2018	95.2
ethiopian_democratic_forces is a terrorist organization	1111	06-jul-2018	99.6
eve and devil are family members	1111	06-jul-2018	93.8
international_monetary_fund is an organization created at the date n1944	1115	03-sep-2018	100.0
goldhawk_road is a park in the city central_london	1116	12-sep-2018	100.0
optimizing_password_composition_policies occurrs in the building gates_and_hillman_centers	1116	12-sep-2018	100.0
modern_dynamic_kidney_exchanges occurrs in the room n1507	1116	12-sep-2018	100.0