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
wonder_cave is a cave	1111	06-jul-2018	100.0
quality_fine_art_paper is an office supply	1111	06-jul-2018	93.2
metal_beds_complete is a kind of furniture	1111	06-jul-2018	99.7
movie_edge_of_darkness is a movie	1111	06-jul-2018	100.0
brenda_west is a North American person	1111	06-jul-2018	91.3
peter_andre has wife jordan	1116	12-sep-2018	90.9
the coach aaron_rodgers won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
los_angeles_ca is a city also known as north_la	1111	06-jul-2018	98.4
knsd is headquartered in the city san_diego	1116	12-sep-2018	100.0
chocolates is an agricultural product produced in india	1115	03-sep-2018	100.0