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
payment_history_records is a record label	1111	06-jul-2018	98.3
electronic_clocks is an item found on a wall	1111	06-jul-2018	99.4
backlash_capacity is a character trait	1111	06-jul-2018	99.3
clashing_guitars is a musical instrument	1111	06-jul-2018	95.8
ziploc_bag is an item found in the kitchen	1111	06-jul-2018	99.9
city_hall was born in the city copenhagen	1116	12-sep-2018	93.8
tart is a beverage made from juice	1113	15-aug-2018	96.9
kfox is a radio station in the city long_beach	1116	12-sep-2018	93.8
calibrating_the_world_s_photos_with_a_massive_3d_database occurrs in the building newell_simon_hall	1116	12-sep-2018	100.0
abelson_hall is a building belonging to wsu	1116	12-sep-2018	100.0