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
n9_30_a_m__6_p_m_ is a time	1111	06-jul-2018	100.0
n30_40 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
journal_newspapers is a political blog	1111	06-jul-2018	96.9
saab_vehicles is a kind of vehicle	1111	06-jul-2018	99.3
nancy_williams is an astronaut	1111	06-jul-2018	100.0
veba_ag is a shareholder in the company hapag_lloyd	1115	03-sep-2018	100.0
public_relations is an academic program at the university state_university	1111	06-jul-2018	100.0
bruges is a city located in the country belgium	1116	12-sep-2018	99.9
senators is headquartered in the state or province new_york	1116	12-sep-2018	100.0
white_soxs is a sports team that won the world_series	1115	03-sep-2018	100.0