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
mohd_fairuz is a director	1111	06-jul-2018	90.6
museum_of_science_and_history is a monument	1111	06-jul-2018	100.0
reptiles is a vertebrate	1111	06-jul-2018	96.1
crispy_polenta is a food	1111	06-jul-2018	98.2
david_e__emery is an author in the scientific field of machine learning	1111	06-jul-2018	99.8
lincoln is a specific automobile maker dealer in canada	1116	12-sep-2018	100.0
khyber_pakhtunkhwa is a sate or province located in the country pakistan	1116	12-sep-2018	93.8
usa is a country also known as yugoslav_federation	1111	06-jul-2018	93.8
churches is an attraction that will be fall in city louisiana	1116	12-sep-2018	100.0
european_countries is a generalization of belgium	1116	12-sep-2018	100.0