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
zoo_infos_de___the_german_zoo_database is a zoo	1111	06-jul-2018	99.8
jeffery_s__miller is a Canadian person	1111	06-jul-2018	91.6
currency_investing is an economic sector	1112	24-jul-2018	100.0
navy_marine_corps_stadium is a stadium or event venue	1111	06-jul-2018	100.0
volkswagon_pointer_engines is a kind of automobile engine	1111	06-jul-2018	100.0
eve is the mother of flood	1114	25-aug-2018	93.8
ar is a sate or province located in the country usa	1116	12-sep-2018	100.0
national is a bank in peru	1114	25-aug-2018	100.0
n3_ looks like screen	1112	24-jul-2018	99.6
chief is headquartered in the country u_s_	1116	12-sep-2018	98.4