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
cathy_owen is a fashion model	1111	06-jul-2018	91.3
saint_louis_university_main_campus is a university	1111	06-jul-2018	100.0
immaculate_bathrooms is an office building room	1111	06-jul-2018	98.8
contact_the_fitness_center is a visualizable object	1111	06-jul-2018	98.9
traungold_cave is a cave	1111	06-jul-2018	100.0
ford is a company that produces ford_mondeo	1114	25-aug-2018	93.8
magic is a sports team that plays against sixers	1111	06-jul-2018	99.9
the companies texas_tribune and new_york compete with eachother	1111	06-jul-2018	99.6
peachtree_parkway is a street in the city norcross	1116	12-sep-2018	100.0
paralympic_games is a sports game that took place on the date n2010	1116	12-sep-2018	100.0