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
carmel_baird is a CEO	1111	06-jul-2018	94.3
____title___________emissary_veins is a vein	1111	06-jul-2018	99.1
world_famous_cannes_film_festival is a film festival	1111	06-jul-2018	100.0
class_imagination is a machine-learning conference	1111	06-jul-2018	91.2
fire_ants is an animal	1111	06-jul-2018	100.0
smith is a musician who plays the guitar	1116	12-sep-2018	100.0
ryan and matt_schaub are teammates	1111	06-jul-2018	93.8
force_india terminated the employment of vijay_mallya	1112	24-jul-2018	100.0
oregon_coast_aquarium is an aquarium in the city newport	1116	12-sep-2018	100.0
florida_times_union is a newspaper in the city jacksonville	1116	12-sep-2018	99.8