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
tracy_garrett is a professor	1111	06-jul-2018	91.3
kelsey_museum_of_archaeology is a museum	1111	06-jul-2018	95.4
full_daylight is a perception event	1111	06-jul-2018	97.4
white_wall_clock is an item found on a wall	1111	06-jul-2018	99.6
andrew_johnson_national_cemetery is a place of worship	1111	06-jul-2018	99.9
theodor_kolek is a person who has residence in the country israel	1114	25-aug-2018	100.0
secondary_education is an academic program at the university college	1112	24-jul-2018	100.0
southampton is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
rca terminated the employment of clive_davis001	1114	25-aug-2018	100.0
mount_miserable is a mountain in the state or province ohio	1116	12-sep-2018	100.0