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
the_messenger_inquirer is a website	1111	06-jul-2018	100.0
jonathan_arnowitz is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
deep_transverse_metatarsal_ligament is a nerve	1111	06-jul-2018	99.3
farmhouse_doors is an item often found in a hallway	1111	06-jul-2018	99.8
advocacy_record is a political blog	1111	06-jul-2018	98.8
novak_djokovic is an athlete who wins us_open	1116	12-sep-2018	96.9
red_tank_top is a clothing item to go with skirt	1111	06-jul-2018	93.8
china is a country also known as republic	1111	06-jul-2018	100.0
legace and chris_osgood are teammates	1111	06-jul-2018	93.8
russian is a language used in the university harvard	1116	12-sep-2018	99.2