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
john_pendleton is a musician	1111	06-jul-2018	100.0
ampicillin_sulbactam is an archaeon	1111	06-jul-2018	92.1
ldem_poker_tournaments is a non-sports, non-electronic game	1111	06-jul-2018	96.2
class_ideas is a conference	1111	06-jul-2018	99.5
butter_buds_hollandaise_sauce is a condiment	1111	06-jul-2018	99.9
jankovic is an athlete who beat kuznetsova	1115	03-sep-2018	100.0
jay_triano coaches in the league nba	1116	12-sep-2018	100.0
stages is a building located in the city las_vegas	1116	12-sep-2018	96.9
tom_delay is a person who has residence in the geopolitical location texas	1116	12-sep-2018	100.0
the sport baseball was played at n1953_world_series	1116	12-sep-2018	100.0