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
iron_door is an item often found in a hallway	1111	06-jul-2018	100.0
shawn_everett is a politician	1111	06-jul-2018	91.3
land_rover_series_1 is a kind of vehicle	1111	06-jul-2018	99.5
ram_jam is a musical artist	1111	06-jul-2018	92.5
spiders is an invertebrate	1111	06-jul-2018	100.0
anthony_smith plays the sport football	1116	12-sep-2018	90.7
yugoslav_federation is a country located in the geopolitical location countries	1111	06-jul-2018	100.0
alex001 is a musician who plays the bass	1115	03-sep-2018	100.0
mountaineering is a sport with fans in the country __america	1116	12-sep-2018	100.0
michael_jackson is a person who has age 50	1116	12-sep-2018	100.0