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
white_bear_river is a river	1111	06-jul-2018	100.0
comment_the_results is software used by machine-learning scientists	1112	24-jul-2018	99.0
dyersburg_state_community_college is a university	1111	06-jul-2018	100.0
rock_pocket_mouse is a mammal	1111	06-jul-2018	100.0
bathtub_5_pieces_mixer_tap is an item often found in a bathroom	1111	06-jul-2018	99.9
richard_wagoner is the CEO of the automobile maker company gm	1116	12-sep-2018	100.0
saharan_motor_hotel is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0
jeff_bezos is the CEO of amazon_com	1116	12-sep-2018	100.0
projector looks like display001	1115	03-sep-2018	100.0
dos is a product that is a kind of computers	1112	24-jul-2018	96.9