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
michael_tollin is a North American person	1111	06-jul-2018	100.0
b_la_tarr is a male	1111	06-jul-2018	90.6
julia_hirschberg is an author in the scientific field of machine learning	1111	06-jul-2018	92.8
fennel_leaves is a vegetable	1111	06-jul-2018	92.2
kristina_wilson is an actor	1111	06-jul-2018	91.3
black_widows is called spiders	1111	06-jul-2018	100.0
n17_00 is the time of the event stuha	1116	12-sep-2018	100.0
john_g__shedd_aquarium is an aquarium in the city chicago_south	1116	12-sep-2018	100.0
ford is a company that produces mustang	1114	25-aug-2018	100.0
hong_kong_airport is an attraction that will be fall in city hong_kong	1116	12-sep-2018	98.4