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
n1910 is a date	1114	25-aug-2018	100.0
contact_the_scholars is a book	1111	06-jul-2018	96.9
mateo_gil is a director	1111	06-jul-2018	98.0
sawyer_county_record is a newspaper	1111	06-jul-2018	91.5
world_india is an aquarium	1111	06-jul-2018	100.0
national is a bank that bought abu_dhabi_commercial_bank	1114	25-aug-2018	100.0
starbucks_coffee_company serves iced_coffee	1114	25-aug-2018	100.0
john_steinbeck wrote the book cannery_row	1111	06-jul-2018	100.0
granite_peak is a mountain in the state or province montana	1116	12-sep-2018	100.0
cali is a city located in the country colombia	1116	12-sep-2018	93.8