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
tri_propylene_glycol_n_butyl_ether is a chemical	1111	06-jul-2018	100.0
palmer_lake is a visualizable scene	1111	06-jul-2018	99.4
chaumette_vineyards_and_winery is a winery	1111	06-jul-2018	100.0
minnesota_car_accident_lawyer is a kind of office held by a politician	1111	06-jul-2018	100.0
charlene_proctor is an actor	1111	06-jul-2018	91.4
wto is a company headquartered in the city geneva	1116	12-sep-2018	100.0
tea is an agricultural product produced in india	1115	03-sep-2018	100.0
kris_benson plays for the team new_york_mets	1116	12-sep-2018	99.2
kuvo is a radio station in the city denver	1116	12-sep-2018	93.8
national_broadcasting_corporation is an organization known by the acronym nbc_news	1116	12-sep-2018	100.0