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
oil_glands can be a part of a landscape	1111	06-jul-2018	98.5
two_meshes is a parlour game	1111	06-jul-2018	100.0
south_boston_gazette_virginian is a website	1111	06-jul-2018	100.0
online_drugs is an archaeon	1111	06-jul-2018	95.6
language_teaching_methodology is an economic sector	1111	06-jul-2018	99.9
kexp is a radio station in the city seattle	1116	12-sep-2018	100.0
shedd_aquarium is an aquarium in the city chicago_south	1116	12-sep-2018	100.0
cream is an agricultural product that is usually cut into center_fielders_torii_hunter	1115	03-sep-2018	100.0
sacred_music is an academic program at the university college	1113	15-aug-2018	99.2
sam_adams is a person who has residence in the geopolitical location portland	1114	25-aug-2018	100.0