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
table_d_2 is an item found on the floor	1111	06-jul-2018	99.8
south_america is a continent	1111	06-jul-2018	100.0
ureteric_branches_of_the_testicular_artery is an artery	1111	06-jul-2018	99.7
mount_saint_mary_s_college is a sports team	1111	06-jul-2018	100.0
july_6_ is a date	1111	06-jul-2018	97.2
national_security_council is headquartered in the country us	1116	12-sep-2018	100.0
michael_dell is the CEO of dell_inc	1116	12-sep-2018	100.0
waikiki_aquarium is an aquarium in the city honolulu	1116	12-sep-2018	100.0
english is a language used in the university san_francisco_state_university	1111	06-jul-2018	100.0
sharp_corporation is a company also known as samsung	1114	25-aug-2018	93.8