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
telephone_unions is a trade union	1112	24-jul-2018	93.0
halofantrine_hcl_250mg_oral_tablet is an archaeon	1111	06-jul-2018	100.0
soil_bacteria is a bacterium	1111	06-jul-2018	91.3
akita_senshu_museum_of_art is a museum	1111	06-jul-2018	100.0
strawberrys is a visualizable thing	1111	06-jul-2018	95.5
n7_10_am is the time of the event n1995_fox_river_grove_bus_train_collision	1116	12-sep-2018	100.0
modern_hebrew is the language of the country israel	1114	25-aug-2018	100.0
sea_tac is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
larger_animals is an animal that preys on wolves	1112	24-jul-2018	93.8
dan graduated from college	1112	24-jul-2018	100.0