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
state___________a___li__university is a train station	1111	06-jul-2018	99.7
great_western_main_line is a transportation system	1111	06-jul-2018	100.0
the_methodist_hospitals is a hospital	1111	06-jul-2018	92.2
beckersurf_com is a retail store	1111	06-jul-2018	100.0
let_s_do_it_again is a song	1111	06-jul-2018	100.0
gail_collins is a journalist that writes for the publication new_york_times	1113	15-aug-2018	98.4
british_museum is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
the coach kurt_warner won the trophy or tournament super_bowl_xlii	1112	24-jul-2018	100.0
gaza is the capital city of the country palestine	1116	12-sep-2018	100.0
new_orleans is the home city of the sports team new_orleans_hornets	1116	12-sep-2018	100.0