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
management_search is an economic sector	1112	24-jul-2018	100.0
fifa_women__s_world_cup is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
saratoga_springs_history_museum is a monument	1111	06-jul-2018	99.9
jabo_ibehre is an Australian person	1111	06-jul-2018	97.9
table_repair is an item found on the floor	1111	06-jul-2018	99.8
kenwood_corporation produces the wine yulupa_chardonnay	1115	03-sep-2018	100.0
kiffin is a person who belongs to the organization usc	1111	06-jul-2018	98.4
toilets is often found in bathroom	1114	25-aug-2018	100.0
jolie has husband brad_pitt	1116	12-sep-2018	99.9
nagaland is a state or province located in the geopolitical location india	1115	03-sep-2018	100.0