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
nevo_psp_video_converter is a consumer electronic device	1111	06-jul-2018	99.9
heavy_duty_injection is a medical procedure	1111	06-jul-2018	100.0
matt_diaz is american	1111	06-jul-2018	100.0
jessica_elliott is a female	1111	06-jul-2018	99.9
keesha_bean is a legume	1111	06-jul-2018	98.0
companies is a subpart of water_supply	1111	06-jul-2018	96.9
david_climer works for tennessean	1111	06-jul-2018	93.8
bug is called insects	1116	12-sep-2018	100.0
pedro_feliciano is a person who was written about in sports_illustrated	1116	12-sep-2018	100.0
national_academy_museum is a museum in the city new_york	1116	12-sep-2018	100.0