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
pietro_angeletti is a visual artist	1111	06-jul-2018	100.0
pfeiffer_university is a university	1111	06-jul-2018	100.0
ground_whole_wheat is a grain	1111	06-jul-2018	92.2
serotonin_noradrenaline_dopamine is a chemical	1111	06-jul-2018	100.0
angle_aluminum is a building material	1111	06-jul-2018	98.8
denver_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
chevrolet is a specific automobile maker dealer in missouri	1114	25-aug-2018	100.0
hollywood_bowl is a building located in the city los_angeles_ca	1116	12-sep-2018	99.2
insects is a type of mammals	1114	25-aug-2018	100.0
cells is a subpart of the body within human_body	1111	06-jul-2018	100.0