Intonational research is often dependent upon hand-labeling by trained listeners, which can be prone to bias or error. We apply tools from Functional Data Analysis (FDA) to a set ...
A common problem with teleconferences is awkward turn-taking – particularly ‘collisions,’ whereby multiple parties inadvertently speak over each other due to communication d...
Kazumasa Murai, Don Kimber, Jonathan Foote, Qiong ...
This interactive presentation describes LexNet, a graphical environment for graph-based NLP developed at the University of Michigan. LexNet includes LexRank (for text summarizatio...
Step-wise refinement is a powerful paradigm for developing a complex program from a simple program by adding features incrementally. We present the AHEAD (Algebraic Hierarchical Eq...
Don S. Batory, Jacob Neal Sarvela, Axel Rauschmaye...
One of the persistent topics in digital forensic research in recent years has been the problem of finding all things similar. Developed tools usually take on the form of similarit...