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
class_structure is a machine-learning conference	1112	24-jul-2018	96.3
elat_airport is a transportation system	1111	06-jul-2018	100.0
parsons_school_of_design is a school	1116	12-sep-2018	99.2
soracon is a convention	1111	06-jul-2018	99.9
eaton_creek is a mountain range	1111	06-jul-2018	99.9
the companies journal_newspapers and new_york compete with eachother	1111	06-jul-2018	99.6
pueblo_zoo is a zoo in the city pueblo	1116	12-sep-2018	100.0
the coach adam_everett won the trophy or tournament world_series	1115	03-sep-2018	100.0
sharks is a type of big_animals	1111	06-jul-2018	93.8
carolina is headquartered in the state or province new_york_state	1116	12-sep-2018	100.0