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
interface_element_parameters is a machine-learning conference	1111	06-jul-2018	99.1
n3_45_4_30_p_m_ is a time	1111	06-jul-2018	100.0
digastric_branch is a nerve	1111	06-jul-2018	99.2
n30_clock is an item found on a wall	1111	06-jul-2018	99.6
watchmen__the_end_is_nigh___part_2 is a video game	1111	06-jul-2018	100.0
hotel_dieu is a hospital in the city kingston	1116	12-sep-2018	93.8
ben_roethlisberger is an athlete coached by mike_tomlin	1116	12-sep-2018	100.0
milpitas is a city located in the state or province california	1116	12-sep-2018	96.9
house hired treasury	1112	24-jul-2018	93.8
istanbul_atat_rk is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0