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
keth_tv is a TV station	1111	06-jul-2018	99.8
kitchen_bench_tables is a kind of furniture	1111	06-jul-2018	99.5
grain_mite is an invertebrate	1111	06-jul-2018	94.8
wet_woodland can be a part of a landscape	1111	06-jul-2018	98.7
audio_comments is software used by machine-learning scientists	1112	24-jul-2018	100.0
arms is a type of weapon produced in china	1111	06-jul-2018	100.0
steve_ballmer works in the economic sector computer_software	1115	03-sep-2018	100.0
matt_garza coaches the team tampa_bay_devil_rays	1116	12-sep-2018	99.2
lando and han are siblings	1112	24-jul-2018	98.4
national is a bank in the_philippines	1114	25-aug-2018	100.0