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
opus_prize is a film festival	1111	06-jul-2018	100.0
information_archives is a scientific term	1111	06-jul-2018	100.0
the_slim_shady_show is a TV show	1111	06-jul-2018	100.0
lashay_bean is a legume	1111	06-jul-2018	95.9
the_folsom_telegraph is a political blog	1111	06-jul-2018	99.7
ramush_haradinaj works for kosovo	1111	06-jul-2018	100.0
battersea_power_station is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
flannels is a clothing item to go with shirt	1111	06-jul-2018	93.8
pamplemousse_restaurant is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
cisco is headquartered in the city san_jose	1116	12-sep-2018	100.0