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
calidad_de_las_exigencias_del_mercado is a South American person	1111	06-jul-2018	94.3
biombo_region is a state or a province	1111	06-jul-2018	96.9
tim_marx is a North American person	1111	06-jul-2018	91.3
recurrence_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
zoo_de_doue is a zoo	1111	06-jul-2018	99.8
president_reagan is a U.S. politician endorsed by the U.S. politician george_h__w__bush	1112	24-jul-2018	93.8
carroll plays the athletic team position right_center	1113	15-aug-2018	93.8
the sports team yankees was the winner of n1956_world_series	1116	12-sep-2018	100.0
lotus is a specific automobile maker dealer in usa	1114	25-aug-2018	100.0
prince has citizenship in the country monaco	1114	25-aug-2018	100.0