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
jotting is a physical action	1111	06-jul-2018	90.3
wall_to_wall_mirror is an item found on a wall	1111	06-jul-2018	99.9
megaman_starforce_2__zerker_x_ninja is software	1111	06-jul-2018	100.0
josh_howard is an athlete	1111	06-jul-2018	100.0
riva_del_garda is a visualizable scene	1111	06-jul-2018	99.1
hewlett_packard_co is an organization known by the acronym hp	1116	12-sep-2018	100.0
the sports leage nfl uses the venue invesco	1114	25-aug-2018	100.0
golf is a sport with fans in the country korea	1116	12-sep-2018	94.9
kcop_tv is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0
former_green_bay_packers is a sports team that played in series	1113	15-aug-2018	96.9