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
queso_de_los_carriles_cheese is a cheese	1111	06-jul-2018	93.6
services_coordinator is a kind of office held by a politician	1111	06-jul-2018	100.0
n0_10_0 is a machine-learning algorithm	1111	06-jul-2018	98.9
grain_hot_cereals is a grain	1111	06-jul-2018	96.2
zoo_rostock is a zoo	1111	06-jul-2018	99.8

roof is a building feature made from the building material steel	1115	03-sep-2018	92.7
mt is a sate or province located in the country usa	1116	12-sep-2018	100.0
object_storage occurrs at the date april_15__2013	1116	12-sep-2018	100.0
vancouver_aquarium is an aquarium in the city vancouver	1116	12-sep-2018	100.0
jacksonville_jaguars is a sports team that won the super_bowl	1112	24-jul-2018	93.8

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts