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
mateo_gil is a director	1111	06-jul-2018	98.0
mama_thai_restaurant is a restaurant	1111	06-jul-2018	100.0
hydrological_data is a scientific term	1111	06-jul-2018	100.0
system_simulation is an academic field	1111	06-jul-2018	91.2
john_hobson is a politician	1111	06-jul-2018	100.0
robert_quine is a musician who plays the guitar	1115	03-sep-2018	93.8
federal_aviation_administration is headquartered in the country us	1116	12-sep-2018	100.0
brown_recluse_spider is an arthropod as well as spiders also is	1111	06-jul-2018	100.0
robledo is a mountain in the state or province new_mexico	1116	12-sep-2018	93.8
bathsheba has husband king_david	1116	12-sep-2018	100.0