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
silver_green_metallic is a color	1111	06-jul-2018	100.0
alla_lenz_hotel is a place to ski	1111	06-jul-2018	91.1
upcoming_october_elections is an election	1111	06-jul-2018	93.7
next_shoes is a kind of clothing	1111	06-jul-2018	100.0
across_the_face_of_the_world is a book	1111	06-jul-2018	100.0
fair_isaac is an organization known by the acronym fico	1114	25-aug-2018	99.6
lounges looks like tv	1113	15-aug-2018	93.8
australia is an organization dissolved at the date december	1115	03-sep-2018	93.8
antonio_pierce is an athlete who led eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	99.6
trout is a fish that can be served with the food top in a meal (or dish)	1116	12-sep-2018	96.9