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
i_just_had_you_on_my_mind is a song	1111	06-jul-2018	100.0
dorothy_arzner is a commedian	1111	06-jul-2018	100.0
criminal___judge_marcus is a judge	1111	06-jul-2018	94.9
temporary_health_insurance is an economic sector	1112	24-jul-2018	99.7
tar is a musical instrument	1111	06-jul-2018	93.8
rsa_in_the_real_world occurrs in the room n6115	1116	12-sep-2018	100.0
corey_hart is an athlete that flied out to position center	1111	06-jul-2018	100.0
daniel_boulud_brasserie is a restaurant in the city las_vegas	1116	12-sep-2018	100.0
kvoa_tv is a company that has an office in the city tucson	1111	06-jul-2018	100.0
miguel_tejada plays the sport baseball	1116	12-sep-2018	98.4