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
_10 is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
yoder_and_fry_farm is a farm	1111	06-jul-2018	99.8
bed_rocking is a household item	1111	06-jul-2018	91.7
n10_12 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
boletus_mushrooms is a fungus	1111	06-jul-2018	90.6
egypt is a country also known as china	1111	06-jul-2018	93.8
larger_pets is an animal that preys on dogs	1112	24-jul-2018	100.0
norris_cole plays for the team air_source_heat	1116	12-sep-2018	99.2
tennessee_williams_center is related to sewanee	1116	12-sep-2018	100.0
stewart has been charged with murder	1116	12-sep-2018	93.8