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
karen_williams is a European person	1111	06-jul-2018	100.0
glass_dog_door is an item often found in a hallway	1111	06-jul-2018	99.8
safety_features_standard_safety_features is a model of automobile	1111	06-jul-2018	99.2
zsl_whipsnade_zoo is an aquarium	1111	06-jul-2018	100.0
one_mould is a fungus	1111	06-jul-2018	90.0
baseball is a sport played in the venue yankee_stadium	1115	03-sep-2018	100.0
the sports team twins was the winner of n1987_world_series	1116	12-sep-2018	100.0
screen looks like line	1116	12-sep-2018	98.4
the sport baseball was played at n1931_world_series	1116	12-sep-2018	100.0
mr_ works for microsoft_corporation001	1111	06-jul-2018	99.2