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
amber_mcnaught is a commedian	1111	06-jul-2018	91.2
buford_georgia is an island	1111	06-jul-2018	96.8
elegant_private_bathroom is an office building room	1111	06-jul-2018	95.0
inferior_posterior_nasal_bdddeeranches is a nerve	1111	06-jul-2018	99.1
trombidiidae is an arthropod	1111	06-jul-2018	99.4
division is an organization also known as service	1112	24-jul-2018	99.6
reagan_washington_national is an attraction that will be fall in city washington_d_c_	1116	12-sep-2018	100.0
smith is a musician who plays the guitar	1116	12-sep-2018	100.0
leslie_moonves is the CEO of cbs_evening_news	1116	12-sep-2018	99.9
the companies hong_kong_post and china001 compete with eachother	1111	06-jul-2018	93.8