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
united_community_bank_of_north_dakota is a bank	1111	06-jul-2018	100.0
pietro_angeletti is a visual artist	1111	06-jul-2018	100.0
n2_26_pm_1_comments is a dataset used within the scientific field of machine learning	1111	06-jul-2018	95.6
cathy_owen is a fashion model	1111	06-jul-2018	91.3
itg_journal is a newspaper	1111	06-jul-2018	90.6
lucius and arthur are siblings	1112	24-jul-2018	93.8
hoeppner works for indiana	1112	24-jul-2018	93.8
red_wings is a sports team also known as calgary_flames	1113	15-aug-2018	93.8
jonathan_vilma is an athlete who led new_orleans_saints	1116	12-sep-2018	99.6
national is a company that has an office in the country romania	1114	25-aug-2018	100.0