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
u_s__district_judge_jeffrey_s__white is a part of the government	1111	06-jul-2018	100.0
congressional_representative is a kind of office held by a politician	1111	06-jul-2018	100.0
swollen_lymph_nodes_cat is a lymph node	1111	06-jul-2018	99.2
same_target is a retail store	1111	06-jul-2018	99.6
medial_sacral_crest is a nerve	1111	06-jul-2018	97.5
the home stadium of brad_childress is dome	1116	12-sep-2018	100.0
nan_wang is a person who has residence in the geopolitical location new_south_wales	1114	25-aug-2018	100.0
nationwide is a company in the economic sector of insurance	1114	25-aug-2018	99.1
phil_condit is the CEO of boeing	1116	12-sep-2018	100.0
baseball is a sport played in the venue ballpark_in_arlington	1115	03-sep-2018	100.0