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
upper_shin is a part of the body	1111	06-jul-2018	95.7
native_art_gallery is a museum	1111	06-jul-2018	91.0
gerry_mcrae is a CEO	1111	06-jul-2018	94.3
fivesaddle_parrotfish is a fish	1111	06-jul-2018	100.0
adam_bostick is an athlete	1111	06-jul-2018	100.0
theodor_kollek is a person born on the date n1911	1116	12-sep-2018	100.0
stomach is a subpart of the body within tract001	1111	06-jul-2018	100.0
nevada is a sate or province located in the country u_s_	1116	12-sep-2018	100.0
biden is a U.S. politician endorsed by the U.S. politician senator_obama	1112	24-jul-2018	97.7
caterham is a specific automobile maker dealer in _uk	1116	12-sep-2018	99.2