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
indicator_plant is a plant	1111	06-jul-2018	99.9
ubiquitous_computer is an item found on a table	1111	06-jul-2018	91.3
score_bad_credit is an office supply	1111	06-jul-2018	94.2
tapas_pan_set is an item found in the kitchen	1111	06-jul-2018	99.3
rigatino_di_castel_san_pietro_cheese is a cheese	1111	06-jul-2018	93.1
dayton is a city that lies on the river great_miami	1112	24-jul-2018	96.8
n8 is the number of people that died in the event n2009_taconic_state_parkway_crash	1116	12-sep-2018	100.0
terry_moran works for abc_news	1111	06-jul-2018	99.8
brad_pitt has wife angelina_jolie	1116	12-sep-2018	100.0
the sport baseball was played at n2003_world_series	1116	12-sep-2018	100.0