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
ford_atlas is a kind of vehicle	1111	06-jul-2018	99.9
white_winged_dog_like_bat is a mammal	1111	06-jul-2018	100.0
n0_10_0 is a machine-learning algorithm	1111	06-jul-2018	98.9
tropical_montane_rainforest can be a part of a landscape	1111	06-jul-2018	97.9
table_a_9 is an item often found in a bedroom	1111	06-jul-2018	99.9
n160 is the number of people injured in the event aleppo_university_bombings	1116	12-sep-2018	100.0
jorma_ollila is the CEO of nokia_siemens	1116	12-sep-2018	100.0
baseball is a sport played in the venue skydome	1111	06-jul-2018	100.0
crabs is a type of shellfish	1116	12-sep-2018	99.2
w_bush held the position of president	1115	03-sep-2018	98.4