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
cleeves_cove_cave is a cave	1111	06-jul-2018	100.0
ceiling_computer is an item found on a table	1111	06-jul-2018	99.7
dallas_world_aquarium_and_zoological_garden is an aquarium	1111	06-jul-2018	100.0
heather_juergensen is a fashion model	1111	06-jul-2018	98.2
naked_in_death is a book	1111	06-jul-2018	100.0
pondicherry is a sate or province located in the country india	1116	12-sep-2018	96.9
atorvastatin is a drug worked on by pfizer	1114	25-aug-2018	100.0
ryan_phillippe is related to ryan_phillippe	1116	12-sep-2018	100.0
the sports team new_england_patriots was the winner of super_bowl_xxxviii	1116	12-sep-2018	93.8
lines looks like cable	1111	06-jul-2018	100.0