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
collins_community_credit_union is a bank	1111	06-jul-2018	100.0
pat_fusco_s_georgian_moppin__sauce is a condiment	1111	06-jul-2018	99.9
red_cliffs can be a part of a landscape	1111	06-jul-2018	99.8
donna_davis is a journalist	1111	06-jul-2018	100.0
tile_bathroom_floor is an item often found in a hallway	1111	06-jul-2018	99.6
san_antonio is a city that lies on the river nueces	1112	24-jul-2018	96.9
ralph is a politician who holds the office of president	1114	25-aug-2018	100.0
andris_biedrins plays in the league nba	1116	12-sep-2018	100.0
baseball_players is a generalization of carlos_santana	1116	12-sep-2018	98.4
carnegie was born in the city nueva_york	1116	12-sep-2018	100.0