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
sliced_pork is a type of meat	1111	06-jul-2018	99.6
film_historian_leonard_maltin is a director	1111	06-jul-2018	90.3
crystal_palace_casino is a stadium or event venue	1111	06-jul-2018	100.0
pudendal_nerve_entrapment is a nerve	1111	06-jul-2018	97.0
jacques_brel is a musician	1111	06-jul-2018	99.7
recluse_spider is an arthropod as well as recluse also is	1111	06-jul-2018	100.0
toni_morrison contributed to the creative work song_of_solomon	1112	24-jul-2018	93.8
xom_ is a company also known as exxon	1114	25-aug-2018	100.0
citibank is a bank in china	1111	06-jul-2018	100.0
alice_goodman belongs to the religion anglican	1116	12-sep-2018	100.0