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
tour_de_la_cote_picarde is a sports race	1111	06-jul-2018	100.0
judge_ian_leeming_qc is a judge	1111	06-jul-2018	95.5
northern_red_salamander is a reptile	1111	06-jul-2018	100.0
westmoreland_gmc is a company	1111	06-jul-2018	95.6
last_general_meeting is a music festival	1111	06-jul-2018	100.0
treasury_department is headquartered in the country u_s_	1116	12-sep-2018	100.0
larry_kellner is the CEO of continental	1116	12-sep-2018	100.0
peter_d__hart_research_associates is headquartered in the state or province washington	1116	12-sep-2018	100.0
mgm_grand is a tourist attraction in the city las_vegas	1116	12-sep-2018	100.0
hank_stram coaches the team kansas_city_chiefs	1116	12-sep-2018	99.2