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
education_test is a medical procedure	1111	06-jul-2018	100.0
institution_record is a political blog	1111	06-jul-2018	99.2
minnesota_ground_water_association is a professional organization	1111	06-jul-2018	91.2
n3_287 is a programming language	1112	24-jul-2018	94.8
battle_of_cardenas is a military conflict	1111	06-jul-2018	99.9
baltimore_washington is an airport in the city baltimore	1116	12-sep-2018	100.0
mother is the mother of john	1116	12-sep-2018	99.6
rakesh_roshan is the father of hrithik_roshan	1116	12-sep-2018	100.0
insects is an animal that is a kind of dragonflies	1111	06-jul-2018	100.0
cloak is a clothing item to go with boots	1111	06-jul-2018	99.9