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
typical_personal_computer is an item found on a table	1111	06-jul-2018	100.0
m_resort_spa_casino is a stadium or event venue	1111	06-jul-2018	93.8
jewish_internet is a visualizable attribute	1111	06-jul-2018	90.7
baby_elk is an animal	1111	06-jul-2018	93.2
grains_products is a grain	1111	06-jul-2018	94.5
mandarin_oriental_hyde_park is a hotel in the city central_london	1116	12-sep-2018	97.1
national is a bank in nepal	1114	25-aug-2018	100.0
jelena_jankovic is an athlete who beat kuznetsova	1115	03-sep-2018	100.0
kimora_lee_simmons was born in the state or province new_jersey	1116	12-sep-2018	100.0
willie_parker and ben_roethlisberger are teammates	1111	06-jul-2018	100.0