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
brownes_creek is a river	1111	06-jul-2018	100.0
pacific_dog_snapper is a fish	1111	06-jul-2018	100.0
rage_of_mages_2 is software	1112	24-jul-2018	100.0
culpeper_gmc is an automobile manufacturer	1111	06-jul-2018	95.0
lara_jill_miller is a fashion model	1111	06-jul-2018	91.4
ants is an animal that eats seeds	1115	03-sep-2018	100.0
the sport baseball was played at n2000_world_series	1116	12-sep-2018	100.0
sean_marshall is an athlete that flied out to position center	1111	06-jul-2018	100.0
ingram_micro is headquartered in the state or province california	1116	12-sep-2018	100.0
meryl_streep starred in the movie the_devil_wears_prada	1115	03-sep-2018	100.0