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
brevard_community_college_titusville is a train station	1111	06-jul-2018	99.4
grassy_lake is a trail	1111	06-jul-2018	100.0
catawissa_creek is a river	1111	06-jul-2018	100.0
n32_36 is a machine-learning algorithm	1111	06-jul-2018	99.4
tim_p__barnett is an author in the scientific field of machine learning	1111	06-jul-2018	99.8
pleasant_hill_road is a street in the city duluth	1116	12-sep-2018	100.0
richard_perle belongs to the ethnic group israeli	1116	12-sep-2018	100.0
samuel001 and saul001 are siblings	1114	25-aug-2018	100.0
tea is an agricultural product produced in india	1115	03-sep-2018	100.0
microsoft is related to xbos360	1115	03-sep-2018	100.0