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
star_newspapers is a company	1111	06-jul-2018	99.8
old_cheddar is a cheese	1111	06-jul-2018	93.2
judge_graham_morrow_qc is a judge	1111	06-jul-2018	97.2
brukenthal_national_museum is a museum	1111	06-jul-2018	92.7
pickled_cabbage is an agricultural product	1111	06-jul-2018	98.7
gary_payton is an athlete coached by mike_woodson	1116	12-sep-2018	100.0
emile_lahoud is a person born on the date n1936	1116	12-sep-2018	100.0
vernon_bellecourt belongs to the ethnic group lakota	1116	12-sep-2018	100.0
class_d_airports is a generalization of eugene_s_mahlon_sweet__eug_	1112	24-jul-2018	100.0
marlins is a sports team that won the world_series	1113	15-aug-2018	100.0