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
gold_ore_gold_lotto_gold_refining is a visualizable attribute	1111	06-jul-2018	100.0
sliced_fruit is a visualizable thing	1111	06-jul-2018	96.1
door_tips is something found in or on buildings	1111	06-jul-2018	99.1
judge_broomfield is a judge	1111	06-jul-2018	97.0
best_home_office_furniture is a kind of furniture	1111	06-jul-2018	99.3
lenny_moore plays the athletic team position running_back	1113	15-aug-2018	100.0
psychology concerns human_behavior	1113	15-aug-2018	100.0
bulbs is an agricultural product produced in __america	1116	12-sep-2018	100.0
la is a synonym for los_angeles_ca	1111	06-jul-2018	98.4
china is a country located in the geopolitical location other_countries	1111	06-jul-2018	100.0