Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
instruction_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
john_reid is a politician	1111	06-jul-2018	100.0
golden_landmark is a hotel	1111	06-jul-2018	98.1
rights_last_year is a socio-political term	1111	06-jul-2018	94.7
kathleen_walsh is a female	1111	06-jul-2018	100.0

triangle has shape corners	1112	24-jul-2018	99.8
stephanie_rawlings_blake is the leader of the city baltimore	1116	12-sep-2018	100.0
modern_language is an academic program at the university college	1112	24-jul-2018	93.8
seth_smith coaches the team colorado_rockies	1116	12-sep-2018	98.4
n100 is the number of people injured in the event bombing_at_egypt_police_station_kills_12	1116	12-sep-2018	100.0

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts