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
angel_mounds_state_historic_site is a monument	1111	06-jul-2018	99.8
spiking_neural_networks is an area of study within the field of machine learning	1112	24-jul-2018	99.8
isopropyl_ether_peroxide is a chemical	1111	06-jul-2018	100.0
hair_coloring is a personal care product	1111	06-jul-2018	99.0
deployment_capacity is a character trait	1111	06-jul-2018	99.6

father is the father of christ_jesus	1115	03-sep-2018	99.6
burien is a city located in the state or province washington	1116	12-sep-2018	98.4
english is a language used in the university british_council	1113	15-aug-2018	96.9
ramush_haradinaj works for kosovo	1111	06-jul-2018	100.0
tomato is related to china_china	1116	12-sep-2018	100.0

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts