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
chrysler_concord_engines is a kind of automobile engine	1111	06-jul-2018	100.0
shelf_desk_clock is an item found on a wall	1111	06-jul-2018	99.5
daniela_bochmacova is a fashion model	1111	06-jul-2018	100.0
stage_iv_colon is a physiological condition	1111	06-jul-2018	92.6
large_crab is a crustacean	1111	06-jul-2018	99.6
insects is an animal that preys on spiders	1111	06-jul-2018	100.0
japanese participated in the event result	1111	06-jul-2018	99.6
cells is a subpart of the body within human_umbilical_cord	1111	06-jul-2018	96.9
raleigh_durham_international_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
assam is a state or province located in the geopolitical location india	1115	03-sep-2018	100.0