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
cool_stars is a geometric shape	1111	06-jul-2018	97.5
american_medical_writers_association is a non-profit organization	1111	06-jul-2018	100.0
night_s_elections is an election	1111	06-jul-2018	95.2
soracon is a convention	1111	06-jul-2018	99.9
coca_cola_thick_bar_b_que_sauce is a condiment	1111	06-jul-2018	100.0
murder_weapon is a generalization of nuclear_missile	1115	03-sep-2018	100.0
nepal is a city that lies on the river kosi	1112	24-jul-2018	99.8
john_mccain is a person who has age 72	1116	12-sep-2018	100.0
washington is related to new_jersey_avenue_station	1113	15-aug-2018	100.0
the coach josh_anderson won the trophy or tournament world_series	1115	03-sep-2018	100.0