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
western_john_jay_inn is a place to ski	1111	06-jul-2018	90.2
morocco_s_atlas_mountains is a mountain range	1111	06-jul-2018	99.7
crowe_family_farms is a farm	1111	06-jul-2018	99.8
system_simulation is an academic field	1111	06-jul-2018	91.2
star_wars_episode_1_racer is software	1112	24-jul-2018	100.0
mandalay_bay_aquarium is an aquarium in the city las_vegas	1116	12-sep-2018	100.0
persian is the language of the country india	1115	03-sep-2018	100.0
sun is a newspaper in the city new_york	1116	12-sep-2018	92.9
weill was born in the city nueva_york	1116	12-sep-2018	100.0
surf is a sport with fans in the country __america	1116	12-sep-2018	100.0