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
one_human_study is a research project	1111	06-jul-2018	98.7
saint_johns_college is a sports team	1111	06-jul-2018	100.0
there_is_a_tavern_in_the_town is a song	1111	06-jul-2018	100.0
gold_huggie_earrings is a visualizable attribute	1111	06-jul-2018	90.3
randall_road is a street	1111	06-jul-2018	100.0
iberia_airlines is a company headquartered in the city madrid	1116	12-sep-2018	100.0
warheads is a type of weapon produced in china	1111	06-jul-2018	99.2
english_language is the language of the country canada	1116	12-sep-2018	99.2
boaz is the parent of obed	1112	24-jul-2018	100.0
wrlh is a TV affiliate of the network fox	1116	12-sep-2018	100.0