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
dragonball__raging_blast_2 is a video game	1111	06-jul-2018	100.0
particular_middle is a nerve	1111	06-jul-2018	98.8
prescription_javascript is a muscle	1111	06-jul-2018	99.9
interest_rate_credit_cards is an invertebrate	1111	06-jul-2018	98.8
n09_03_08 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
international_center_for_photography is a museum in the city new_york	1116	12-sep-2018	96.9
the sports leage arca uses the venue nashville	1112	24-jul-2018	100.0
microsoft_corporation is a company in the economic sector of computer_software	1111	06-jul-2018	100.0
jessica has spouse honor	1116	12-sep-2018	93.8
b_muthuraman works for tata	1112	24-jul-2018	100.0