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
scott_hill_road is a highway	1111	06-jul-2018	93.1
dollar_to_dem is a currency	1111	06-jul-2018	93.8
star_wars_episode_1_racer is software	1112	24-jul-2018	100.0
refrigerator_no_cheese_cake is a baked good	1111	06-jul-2018	100.0
class_help is a machine-learning conference	1111	06-jul-2018	92.6
isis is the mother of horus	1116	12-sep-2018	93.8
bernhard_schlink held the position of author	1116	12-sep-2018	100.0
arizona_territory is a sate or province located in the country u_s_	1116	12-sep-2018	98.4
argentina is a country also known as china	1111	06-jul-2018	93.8
contact_the_u_s__department is a synonym for administration	1111	06-jul-2018	98.4