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
famagusta is a visualizable scene	1111	06-jul-2018	99.6
two_spy is a parlour game	1111	06-jul-2018	91.0
banff_2007_mountain_film_festival is a film festival	1111	06-jul-2018	100.0
el_carboncito_restaurant is a restaurant	1111	06-jul-2018	100.0
walk___don_t_run__the_best_of_the_ventures is a musical album	1111	06-jul-2018	99.9
zoloft is expected to come to market on later_this_year	1116	12-sep-2018	100.0
the sport baseball was played at n2004_world_series	1116	12-sep-2018	100.0
the sports team pirates was the winner of series	1116	12-sep-2018	100.0
ark and king_david are siblings	1113	15-aug-2018	93.8
whirlpool is often found in bathroom	1114	25-aug-2018	96.7