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
sawyer_county_record is a newspaper	1111	06-jul-2018	91.5
dull_yellow_glow is a perception event	1111	06-jul-2018	96.5
brazilian_study is a research project	1111	06-jul-2018	99.4
seed_bed_farm is a farm	1111	06-jul-2018	99.8
mycobacterium_aichiense is a bacterium	1111	06-jul-2018	100.0
nintendo_ is a company that produces gamecube	1114	25-aug-2018	99.9
madison_square_garden is the home venue for the sports team rangers	1116	12-sep-2018	100.0
adam and noah are family members	1111	06-jul-2018	93.8
dodge is a specific automobile maker dealer in california	1115	03-sep-2018	96.9
role is found in valley	1111	06-jul-2018	96.9