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
ad_spending is a physical action	1111	06-jul-2018	95.5
yutz is a visualizable scene	1111	06-jul-2018	99.3
brit_spaugh_zoo is an aquarium	1111	06-jul-2018	100.0
chanteloup_en_brie is a cheese	1111	06-jul-2018	94.9
toasted_bagel is a visualizable thing	1111	06-jul-2018	95.6
acela_express is a transportation system located in the city boston	1116	12-sep-2018	100.0
former_green_bay_packers is a sports team that won the nfc_championship	1113	15-aug-2018	100.0
silvestre_heerrera belongs to the ethnic group mexican	1116	12-sep-2018	100.0
mcpherson001 is a person who belongs to the organization abc	1112	24-jul-2018	99.9
bill_purcell is a person who has residence in the geopolitical location nashville	1116	12-sep-2018	100.0