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
los_viejos_tiempos is a currency	1111	06-jul-2018	99.8
virginia_august_wilson_theatre is a building	1111	06-jul-2018	92.3
hair_care_creams is a personal care product	1111	06-jul-2018	99.6
n0_10_0 is a machine-learning algorithm	1111	06-jul-2018	98.9
generous_dining_room is a kind of room	1111	06-jul-2018	99.5
bed is often found in style_room	1111	06-jul-2018	100.0
ventura is a person who has residence in the geopolitical location minnesota	1114	25-aug-2018	100.0
nissan makes the automobile armada	1114	25-aug-2018	93.8
phylloxera is called louse	1113	15-aug-2018	100.0
dallas_aquarium is an aquarium in the city dallas	1116	12-sep-2018	100.0