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
heavy_glass_door is an item often found in a hallway	1111	06-jul-2018	99.8
n2_26_pm_1_comments is a dataset used within the scientific field of machine learning	1111	06-jul-2018	95.6
raw_cranberries is a fruit	1111	06-jul-2018	99.4
ram_jam is a musical artist	1111	06-jul-2018	92.5
turkish_elections is an election	1111	06-jul-2018	98.4
england has wife diana001	1116	12-sep-2018	99.8
elsie_allen died in the state or province california	1116	12-sep-2018	100.0
jacksonville_jaguars is a sports team that won the super_bowl	1112	24-jul-2018	93.8
deep_creek_lake is a lake in the state or province maryland	1116	12-sep-2018	100.0
tea is an agricultural product produced in china	1111	06-jul-2018	100.0