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
lysteda is a drug	1111	06-jul-2018	91.4
emc is an organization	1114	25-aug-2018	100.0
kaz_vineyard___winery is a winery	1111	06-jul-2018	100.0
margaret_pace_park is a zoo	1111	06-jul-2018	100.0
aid_face is a machine-learning conference	1111	06-jul-2018	95.3
auburn_avenue is a street in the city atlanta	1116	12-sep-2018	100.0
layers is a subpart of water	1111	06-jul-2018	93.8
monorail is a transportation system located in the city melbourne	1116	12-sep-2018	100.0
oregon_ducks is a sports team that won the stanley_cup	1113	15-aug-2018	100.0
frontier is a building located in the city las_vegas	1116	12-sep-2018	91.1