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
variable_computer is an item found on a table	1111	06-jul-2018	100.0
cheaper_drugs is an archaeon	1111	06-jul-2018	90.4
denner_winery is a winery	1111	06-jul-2018	100.0
roanoke_volvo is an automobile manufacturer	1111	06-jul-2018	95.5
interop is a conference	1111	06-jul-2018	99.1
kcal is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	100.0
david_miller is a person who has residence in the geopolitical location toronto	1115	03-sep-2018	100.0
kurt_westergaard is a person who has age nonneginteger:n75	1116	12-sep-2018	100.0
paul_pierce is an athlete coached by doc_rivers	1116	12-sep-2018	100.0
knvn_tv is a TV affiliate of the network nbc_news	1116	12-sep-2018	99.6