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
mount_elden is a mountain range	1111	06-jul-2018	99.9
albert_e__austin is a monarch	1111	06-jul-2018	97.8
pm_students is a victim	1111	06-jul-2018	100.0
chain_lymph_nodes is a lymph node	1111	06-jul-2018	99.1
mastalgia_worcester_cathedral_st__peter_s_priory is a place of worship	1111	06-jul-2018	99.8
cole_hamels is an athlete that flied out to position center	1111	06-jul-2018	100.0
haddonfield is a city located in the state or province new_jersey	1116	12-sep-2018	96.9
susan_sarandon starred in the movie dead_man_walking	1115	03-sep-2018	100.0
willam_anderson is a person who has residence in the country us	1115	03-sep-2018	100.0
u_s__department is headquartered in the country u_s_	1116	12-sep-2018	100.0