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
zoo_rostock is a zoo	1111	06-jul-2018	99.8
abra_chouinard is a Canadian person	1111	06-jul-2018	95.7
jet_software is a tool	1111	06-jul-2018	99.4
desk_line is an item found on the floor	1111	06-jul-2018	100.0
pudendal_nerve_entrapment is a nerve	1111	06-jul-2018	97.0
carnegie was born in the city nueva_york	1116	12-sep-2018	100.0
tubby_smith coaches the team uk	1116	12-sep-2018	96.9
good_housekeeping is related to steve_swartz	1114	25-aug-2018	100.0
paul is a musician who is part of clash	1111	06-jul-2018	93.8
great_western is a transportation system located in the city bristol	1116	12-sep-2018	100.0