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
chiala_mountain_salamander is an amphibian	1111	06-jul-2018	100.0
country_music_festival_farwell_michigan is a music festival	1111	06-jul-2018	100.0
nfl_psp_games is a consumer electronic device	1111	06-jul-2018	99.9
westport_island_maine is a beach	1111	06-jul-2018	91.6
brighter_lighting is a perception event	1111	06-jul-2018	99.7
carroll plays the athletic team position right_center	1113	15-aug-2018	93.8
rick_vandenhurk is an athlete that flied out to position center	1111	06-jul-2018	100.0
football is a sport with fans in the country u_s_	1116	12-sep-2018	96.9
bouchon is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
king_tv held the position of lord	1116	12-sep-2018	100.0