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_part_parameters is a machine-learning conference	1111	06-jul-2018	98.0
regular_trains is a kind of vehicle	1111	06-jul-2018	99.2
training_soccer_balls is sports equipment	1111	06-jul-2018	95.5
maluku_islands can be a part of a landscape	1111	06-jul-2018	99.2
victor_sj_str_m is a director	1111	06-jul-2018	95.7
metropolitan_museum_of_art is a tourist attraction in the city new_york	1116	12-sep-2018	93.8
frank001 held the position of king	1116	12-sep-2018	100.0
the sport baseball was played at n2010_world_series	1116	12-sep-2018	100.0
steve_schalchlin belongs to the religion baptist	1116	12-sep-2018	100.0
west_virginia hired huggins	1111	06-jul-2018	100.0