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
city_architecture is an academic field	1111	06-jul-2018	100.0
woolworth__s_department_store is a retail store	1111	06-jul-2018	99.7
cy_hannibal_credit_union is a bank	1111	06-jul-2018	100.0
hiroshima_castle is a place of worship	1111	06-jul-2018	99.8
parazoanthidae is a mollusk	1111	06-jul-2018	100.0
the sports team eventual_super_bowl_champion_new_york_giants was the winner of n1905_world_series	1116	12-sep-2018	100.0
tux is a clothing item to go with boots	1111	06-jul-2018	93.8
hsbc is a company that has an office in the country china	1111	06-jul-2018	99.9
spiders is called black_widow	1111	06-jul-2018	100.0
city_of_westminster is a tourist attraction in the city central_london	1116	12-sep-2018	100.0