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
fernanda_lima is a South American person	1111	06-jul-2018	94.9
iron_door_glass is a building material	1111	06-jul-2018	96.9
preparatory_meeting is a perception action	1111	06-jul-2018	99.5
n10_14_percent is a machine-learning algorithm	1111	06-jul-2018	98.8
thin_bone is a bone	1114	25-aug-2018	94.0
kttv_tv is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	100.0
steve001 works for design	1112	24-jul-2018	96.9
target_corp is headquartered in the country u_s_	1116	12-sep-2018	93.8
blue_jays is a sports team that plays against tampa_bay_devil_rays	1111	06-jul-2018	98.4
images contributed to the creative work commandments	1112	24-jul-2018	98.4