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
news_target is a publication	1111	06-jul-2018	90.6
john_henning is an architect	1111	06-jul-2018	100.0
artesia_high_school is a county	1111	06-jul-2018	90.4
catering_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
jay_c_food_stores is a retail store	1111	06-jul-2018	99.6
manipur is a sate or province located in the country india	1116	12-sep-2018	100.0
center is a museum in the city nueva_york	1116	12-sep-2018	100.0
jason_larue plays the sport baseball	1116	12-sep-2018	100.0
fritz_henderson is the CEO of general_motors	1116	12-sep-2018	99.2
the coach franco_harris won the trophy or tournament super_bowl	1113	15-aug-2018	100.0