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
georg_schrimpf is a visual artist	1111	06-jul-2018	100.0
wheel_cover is an item often found in a bathroom	1111	06-jul-2018	99.8
yellow_bellied_toad is a vertebrate	1112	24-jul-2018	100.0
further_computer is an item found on a table	1111	06-jul-2018	100.0
wave_tactics is a weapon	1111	06-jul-2018	97.1
ravens is a sports team that won the afc_championship	1113	15-aug-2018	100.0
south_bermondsey is a park in the city central_london	1116	12-sep-2018	94.1
jeep makes the automobile jeep_commander	1114	25-aug-2018	100.0
cleveland_hopkins is an airport in the city cleveland	1116	12-sep-2018	100.0
mother is the mother of john	1116	12-sep-2018	99.6