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
los_peque_os is a currency	1111	06-jul-2018	99.9
fluffy_cumulus_clouds is a weather phenomenon	1111	06-jul-2018	98.3
assembly_polls is a hobby	1111	06-jul-2018	99.7
topeka_shiner is a vertebrate	1112	24-jul-2018	99.0
winter_music_conference is a music festival	1111	06-jul-2018	100.0
lake_coeur_d_alene is a lake in the state or province idaho	1116	12-sep-2018	100.0
john_renbourn is a musician who plays the guitar	1113	15-aug-2018	93.8
families is an animal that eats milk	1115	03-sep-2018	96.9
human_powered_data_management occurrs in the room n6115	1116	12-sep-2018	100.0
canon_corporation is a company that produces rebel	1114	25-aug-2018	100.0