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
maxine_peake is a commedian	1111	06-jul-2018	98.9
frank_coleman is a criminal	1111	06-jul-2018	100.0
veronica_hamel is a male	1111	06-jul-2018	90.3
movie_panic is a movie	1111	06-jul-2018	100.0
communist_new_people_s_army is a terrorist organization	1111	06-jul-2018	99.8
kosuke_fukudome plays the sport baseball	1116	12-sep-2018	98.4
raptors participated in the event games	1111	06-jul-2018	100.0
tux is a clothing item to go with shirt	1111	06-jul-2018	100.0
targets is a subpart of water	1111	06-jul-2018	99.2
fritz_henderson is the CEO of general_motors	1116	12-sep-2018	99.2