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
manhattan_regional_airport is a transportation port	1111	06-jul-2018	100.0
battle_of_honkaniemi is a military conflict	1111	06-jul-2018	100.0
product_reviews_no_comments is software used by machine-learning scientists	1111	06-jul-2018	99.7
facts_engineering is an area of study within the field of machine learning	1111	06-jul-2018	100.0
m_night_shyamalan is a male	1111	06-jul-2018	90.3
robert_de_niro is an actor that worked with the director brian_de_palma	1116	12-sep-2018	100.0
ryuhei_kitamura directed the movie midnight_meat_train	1111	06-jul-2018	100.0
alexander_ii has citizenship in the country russia	1113	15-aug-2018	93.8
mother is the parent of lord_jesus	1115	03-sep-2018	97.4
qwest is a tourist attraction in the city seattle	1116	12-sep-2018	96.1