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
line_perscription_health_insurance is an economic sector	1111	06-jul-2018	99.9
yellow_bellied_toad is a vertebrate	1112	24-jul-2018	100.0
michael_barrett is a U.S. politician	1111	06-jul-2018	100.0
glass_aluminium_door is something found in or on buildings	1111	06-jul-2018	98.4
accompanying_a__of_median_nerve is a nerve	1111	06-jul-2018	96.6
national is a bank in china	1114	25-aug-2018	100.0
ark and mary are family members	1113	15-aug-2018	93.8
room_1495 is a room in the building biomedical_science_tower	1116	12-sep-2018	100.0
earnest_byner plays the athletic team position running_back	1111	06-jul-2018	100.0
china is a country located in the geopolitical location population_countries	1111	06-jul-2018	93.8