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
jeweled_anemone_hermit_crab is a crustacean	1111	06-jul-2018	99.6
iclx is a conference	1111	06-jul-2018	98.7
joensuu_airport is a visualizable scene	1111	06-jul-2018	100.0
chair_floor_mat is an item found on the floor	1111	06-jul-2018	99.5
two_deadly_viruses is a virus	1111	06-jul-2018	97.4
the sports leage nfl uses the venue invesco	1114	25-aug-2018	100.0
michael_jordan is an expert in the machine-learning area of bayesian_inference	1112	24-jul-2018	100.0
master held the position of king	1116	12-sep-2018	93.8
madison_square_garden is the home venue for the sports team rangers	1116	12-sep-2018	100.0
adventures is a generalization of camping	1111	06-jul-2018	100.0