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
regents_park_area is a monument	1111	06-jul-2018	100.0
michel_oksenberg is a European person	1111	06-jul-2018	100.0
zebra_chairs is a household item	1111	06-jul-2018	100.0
african_capital is a geopolitical entity that is a location	1111	06-jul-2018	92.3
lisa_elliott is a writer	1111	06-jul-2018	91.1
icbc is a company that has an office in the country china	1111	06-jul-2018	99.8
tea is an agricultural product produced in __america	1116	12-sep-2018	93.8
the sports team yankees was the winner of n1952_world_series	1116	12-sep-2018	100.0
blessed_virgin_mary is the mother of child	1116	12-sep-2018	93.8
victoria is the capital city of the state or province bc	1116	12-sep-2018	100.0