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
last_minute_valentine is a visualizable scene	1111	06-jul-2018	99.7
_210_00 is a year	1111	06-jul-2018	100.0
susan_o_brien is a journalist	1111	06-jul-2018	100.0
rights_activity is a socio-political term	1111	06-jul-2018	97.1
harmony_mill_farm is a farm	1111	06-jul-2018	99.9
folk_music is a generalization of rock	1111	06-jul-2018	93.8
ny_mets is headquartered in the state or province ny	1116	12-sep-2018	96.9
knbc is a TV station in the city los_angeles_ca	1116	12-sep-2018	100.0
denver is a city located in the geopolitical location national	1114	25-aug-2018	98.4
tomato is related to china_china	1116	12-sep-2018	100.0