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
homemade_bed is a household item	1111	06-jul-2018	93.1
spectacular_bathrooms is an office building room	1111	06-jul-2018	97.3
skinniness is a physical characteristic	1112	24-jul-2018	100.0
example_argentina is a musical artist	1111	06-jul-2018	98.7
stoli_vodka is a beverage	1111	06-jul-2018	94.6
the coach champ_bailey won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
telegraph is related to www_miamiherald_com	1116	12-sep-2018	100.0
aaron is the father of eleazar	1116	12-sep-2018	99.8
best_western_suites_hotel_lax is a hotel in the city los_angeles_ca	1116	12-sep-2018	100.0
epstein_barr_virus is a bacteria that causes nasopharyngeal_carcinoma	1112	24-jul-2018	100.0