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
racially_aggravated_assault ia a crime or charge	1111	06-jul-2018	91.8
northwest_community_college_hazelton_campus is a train station	1111	06-jul-2018	99.5
holdem_poker_version is a cardgame	1111	06-jul-2018	99.9
computer_no_comments is software used by machine-learning scientists	1111	06-jul-2018	99.6
john__ is a U.S. politician	1111	06-jul-2018	100.0
orient_express is a transportation system located in the city central_london	1116	12-sep-2018	97.1
bed is often found in lower_level_master	1115	03-sep-2018	93.8
moses has brother john	1113	15-aug-2018	98.4
nelson_d__schwartz is a journalist that writes for the publication times	1111	06-jul-2018	96.9
toyota is a specific automobile maker dealer in malaysia	1115	03-sep-2018	100.0