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
tracy_frazier is a writer	1111	06-jul-2018	91.5
jimmy_baron is an athlete	1111	06-jul-2018	100.0
andrew_bowen is an Australian person	1111	06-jul-2018	100.0
daytime_sky is a visualizable attribute	1111	06-jul-2018	90.8
annual_undergraduate_research_symposium is a music festival	1111	06-jul-2018	100.0
national is a bank in thailand	1114	25-aug-2018	100.0
service is an organization also known as united_states_department	1112	24-jul-2018	100.0
products is a product produced in u_s_	1116	12-sep-2018	100.0
ravens is a sports team that played in series	1113	15-aug-2018	100.0
the sport baseball was played at n1990_world_series	1116	12-sep-2018	100.0