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
brian_r__gaines is an author in the scientific field of machine learning	1111	06-jul-2018	93.8
hydroptilidae is a mollusk	1111	06-jul-2018	100.0
berkeley_county_circuit_court is a part of the government	1111	06-jul-2018	100.0
n6_03_pm is a time	1111	06-jul-2018	100.0
butter_herb_sauce is a condiment	1111	06-jul-2018	99.9
edgar_froese is a musician who plays the guitar	1113	15-aug-2018	93.8
london is taller than million_people	1116	12-sep-2018	100.0
hussein_kamel died in the country iraq	1116	12-sep-2018	100.0
the sport baseball was played at n2008_world_series	1116	12-sep-2018	100.0
aureole is a restaurant in the city las_vegas	1116	12-sep-2018	100.0