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
drink_software is a tool	1111	06-jul-2018	99.5
licensed_pharmacist is a job position	1111	06-jul-2018	96.8
inconvenience_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
wyandot_lake is a park	1111	06-jul-2018	96.2
trinidad_and_tobago_airline_pilots_association is a trade union	1112	24-jul-2018	90.7
atlanta is the home city of the sports team georgia_state	1116	12-sep-2018	100.0
three is the number of people injured in the event blast_hits_bangkok	1116	12-sep-2018	100.0
duloxetine is expected to come to market on n2002	1116	12-sep-2018	100.0
the coach champ_bailey won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
wpec_tv is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	100.0