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
legalon is a drug	1111	06-jul-2018	92.0
the_mall_at_steamtown is a shopping mall	1111	06-jul-2018	100.0
n15_20_years is a non-disease physiological condition	1111	06-jul-2018	91.7
ground_next_door is an item often found in a hallway	1111	06-jul-2018	100.0
fonta_credit_union is a bank	1111	06-jul-2018	100.0
sega is related to sega_master_system	1114	25-aug-2018	96.9
omar_minaya is a top member of new_york_mets	1116	12-sep-2018	100.0
super_bowl_xliv_the_indianapolis_colts is a sports team that played in championship_game	1113	15-aug-2018	99.6
hockey is a sport with fans in the country u_s_	1116	12-sep-2018	93.8
anne_perry wrote the book funeral_in_blue	1111	06-jul-2018	100.0