Wordsmith in the cloud: refining language models using web-scale language networks
In this project, UMSI Assistant Professor Qiaozhu Mei addressed the issue of text information overload generated from online conversations. Tools that effectively manage this information overload rely on statistical language models, yet the quality of these models is limited by the sparseness of data, the mismatch of context, and the incapability of modeling semantic relations.
Start date: 7/1/2011
End date: 6/30/2013
Wordsmith in the Cloud: Refining Language Models Using Web-Scale Language Networks, National Science Foundation: $214,985
The National Science Foundation is an independent federal agency created by Congress in 1950 "to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense..."