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
beal_s_eyed_turtle is an amphibian	1111	06-jul-2018	100.0
dark_wooden_door is an item often found in a hallway	1111	06-jul-2018	99.9
n11_07 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
robert_robertson is a U.S. politician	1111	06-jul-2018	99.9
burdett_college_worcester_campus is a train station	1111	06-jul-2018	99.7
nordic_ski is a sport taught in the country __america	1116	12-sep-2018	100.0
states is a state or province located in the geopolitical location north_america	1111	06-jul-2018	100.0
pam_iorio is the leader of the city tampa	1116	12-sep-2018	93.8
air_madagascar is headquartered in the city paris	1116	12-sep-2018	100.0
carlingview_airport_inn is a hotel in the city toronto	1116	12-sep-2018	93.8