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
justice_max_baer is a judge	1111	06-jul-2018	97.6
foolscapcon is a convention	1111	06-jul-2018	99.9
bartlesville_examiner_enterprise is a political blog	1111	06-jul-2018	99.7
wwor_tv is a TV station	1111	06-jul-2018	99.9
plain_grasslands can be a part of a landscape	1111	06-jul-2018	99.1
ayers_rock is a building located in the city sydney	1116	12-sep-2018	96.9
claremont_hotel is a park in the city central_london	1116	12-sep-2018	100.0
large_herds refers to more than one horses	1111	06-jul-2018	100.0
the coach glen_perkins won the trophy or tournament world_series	1115	03-sep-2018	100.0
jarrod_saltalamacchia and varitek are teammates	1112	24-jul-2018	93.8