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
streator_onized_credit_union is a bank	1111	06-jul-2018	100.0
parlor_clock is an item often found in a bedroom	1111	06-jul-2018	99.9
disqualifying_felony ia a crime or charge	1111	06-jul-2018	100.0
cialis_here is a product	1111	06-jul-2018	91.8
banana_blues_shoes is a kind of clothing	1111	06-jul-2018	100.0
louis_armstrong_new_orleans_international is an attraction that will be fall in city new_orleans	1116	12-sep-2018	96.9
howard_blume is a journalist that writes for the publication times	1112	24-jul-2018	93.8
barack is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	100.0
delmonico is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
kcop_tv is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0