Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
prodotti_farmaceutici is a wine	1111	06-jul-2018	99.3
dog_ticks is an arthropod	1111	06-jul-2018	100.0
spicy_lamb_sausage is a type of meat	1111	06-jul-2018	98.7
scott_baker is an African person	1111	06-jul-2018	100.0
andy_alt is an author in the scientific field of machine learning	1111	06-jul-2018	95.6

marcus_amphitheatre is a stadium or event venue located in the city downtown_milwaukee	1116	12-sep-2018	96.9
dee_brown plays in the league nba	1116	12-sep-2018	100.0
aquarium_of_the_americas is an aquarium in the city new_orleans	1116	12-sep-2018	93.8
kxla is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	100.0
mary is the parent of new_orleans_saints	1115	03-sep-2018	99.6

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts