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
redundancy_process is a cognitive action	1111	06-jul-2018	100.0
n6_38_pm is a time	1111	06-jul-2018	100.0
unroasted_coffee_beans is a legume	1111	06-jul-2018	99.1
michelle_amador coaches a sports team	1111	06-jul-2018	91.6
field_home is a location	1111	06-jul-2018	98.9
sweet_potatoes is an agricultural product produced in __america	1116	12-sep-2018	99.2
steven_derounian was born in the country bulgaria	1116	12-sep-2018	100.0
wvit_tv is a TV station in the city hartford_connecticut	1116	12-sep-2018	100.0
waltham_fields_community_farm is a farm in the country the_united_kingdom	1116	12-sep-2018	100.0
quality_inn_hollywood is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0