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
close_combat___first_to_fight is software	1112	24-jul-2018	100.0
scott_credit_union is a bank	1111	06-jul-2018	100.0
n46_2__ is a machine-learning algorithm	1111	06-jul-2018	90.1
em_porker_tournament is a sporting event	1111	06-jul-2018	92.8
chip_jenkins is a writer	1111	06-jul-2018	91.2
utah_jazz_jerseys is a sports team that plays in the league nba	1116	12-sep-2018	100.0
beds is often found in site	1116	12-sep-2018	100.0
brain_maps_to_mechanisms__neural_circuit_molecular_architecture occurrs in the room room_1495	1116	12-sep-2018	100.0
priority is headquartered in the country us	1116	12-sep-2018	100.0
the sports leage irl uses the venue daytona_international_speedway	1113	15-aug-2018	96.9