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
carey_lake is a trail	1111	06-jul-2018	100.0
right_superior_temporal_sulcus is a kind of brain tissue	1111	06-jul-2018	99.1
coruh_river is a river	1111	06-jul-2018	100.0
five_islands can be a part of a landscape	1111	06-jul-2018	99.3
class_savers is a machine-learning conference	1111	06-jul-2018	96.2
newark_liberty_international is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
weapons is a type of weapon produced in china	1111	06-jul-2018	100.0
the companies paris_match and new_york compete with eachother	1111	06-jul-2018	100.0
recluse is an arthropod as well as spiders also is	1111	06-jul-2018	100.0
colum_lynch is a journalist that writes for the publication post	1113	15-aug-2018	93.8