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
nfl_playoffs is a sports game	1111	06-jul-2018	100.0
grains_ is a grain	1112	24-jul-2018	90.9
n11_32_pm is a time	1111	06-jul-2018	100.0
booker_arkansas is a beach	1111	06-jul-2018	99.3
deep_transverse_metacarpal_ligament is a nerve	1111	06-jul-2018	99.3
eve is the mother of garden_of_eden	1114	25-aug-2018	100.0
christine_hauser is a journalist that writes for the publication times	1112	24-jul-2018	99.6
abdul_jalil_jan belongs to the religion islam	1116	12-sep-2018	100.0
weeds is an agricultural product produced in __america	1116	12-sep-2018	99.2
rockets is a type of weapon produced in iran	1114	25-aug-2018	96.9