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
n1_3_loss is an event outcome	1111	06-jul-2018	100.0
iowa_oldsmobile is an automobile manufacturer	1111	06-jul-2018	94.9
twenty_three_kilometres is a parlour game	1111	06-jul-2018	100.0
onsite_meeting is a perception action	1111	06-jul-2018	95.7
lara_jill_miller is a fashion model	1111	06-jul-2018	91.4
belfastzoo is a zoo in the city belfast	1116	12-sep-2018	100.0
riverside is a city located in the geopolitical location california	1111	06-jul-2018	99.5
hiram_monserrate is a person who has age nonneginteger:n41	1116	12-sep-2018	100.0
spiders is an arthropod that looks like mites	1111	06-jul-2018	100.0
bed is often found in romantic_rooms	1116	12-sep-2018	99.2