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
dj_perry is a male	1111	06-jul-2018	90.1
contents_code is a musical instrument	1111	06-jul-2018	99.2
matt_britton is a person	1111	06-jul-2018	94.0
oil___vinegar is a visualizable thing	1111	06-jul-2018	96.5
central_pattaya_hotel is a skyscraper	1111	06-jul-2018	100.0
chrysler is a specific automobile maker dealer in illinois	1114	25-aug-2018	100.0
unit is a subpart of hot_water	1111	06-jul-2018	99.2
soho is a park in the city nueva_york	1116	12-sep-2018	100.0
london_gatwick_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
norris_cole plays for the team air_source_heat	1116	12-sep-2018	99.2