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
spacious_separate_living_room is a kind of room	1111	06-jul-2018	99.3
icgw is a conference	1111	06-jul-2018	99.1
antonio_carnicero is an architect	1111	06-jul-2018	100.0
n16_ is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
cold_medicines is a personal care product	1111	06-jul-2018	90.8
kaiser_wilhelm has citizenship in the country germany	1111	06-jul-2018	100.0
oil_dressing is an agricultural product that is usually cooked with lemon	1113	15-aug-2018	96.9
the sports leage nhl uses the venue madison_square_garden	1114	25-aug-2018	100.0
el_tiempo is a newspaper in the city los_angeles_ca	1116	12-sep-2018	100.0
hongkong is a country also known as china	1111	06-jul-2018	99.9