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
n70_years is a sporting event	1111	06-jul-2018	100.0
farmhouse_doors is an item often found in a hallway	1111	06-jul-2018	99.8
julie_montgomery coaches a sports team	1111	06-jul-2018	91.2
vein_of_septum_pellucidum is a vein	1111	06-jul-2018	96.3
valtrex_no_prescription is a product	1111	06-jul-2018	95.7
animals is an agricultural product grown in region	1116	12-sep-2018	100.0
invesco_field_at_mile_high is the home venue for the sports team broncos	1116	12-sep-2018	98.4
scott is an athlete who injured his/her arms	1115	03-sep-2018	100.0
j__p__morgan_chase is a bank that has jamie_dimon as its CEO	1116	12-sep-2018	96.9
easyjet is a company that has an office in the city bristol	1112	24-jul-2018	100.0