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
alexander_ovechkin is a Mexican person	1111	06-jul-2018	100.0
phone_sales is an item found on a table	1111	06-jul-2018	90.7
annual_undergraduate_research_symposium is a music festival	1111	06-jul-2018	100.0
coevalness is an emotion	1111	06-jul-2018	98.9
rat_bone is a bone	1111	06-jul-2018	92.7
dodge is a specific automobile maker dealer in mexico	1115	03-sep-2018	100.0
greenville_spartanburg is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
john_steinbeck wrote the book to_a_god_unknown	1111	06-jul-2018	100.0
union_station is a building located in the city washington_d_c_	1116	12-sep-2018	93.8
bayswater is a park in the city central_london	1116	12-sep-2018	99.8