We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
. Organizations are increasingly turning to large, enterprise-wide software systems as potential solutions to managing complex business-to-business (B2B) relationships. These syste...
Claudia Loebbecke, Thomas Weiss, Philip Powell, Ch...
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
In recent models of decision-making, cognitive scientists have examined the relationship between option generation and successful performance. These models suggest that those who a...
Paul Ward, Joel Suss, David W. Eccles, A. Mark Wil...
In many cases, rather than a keyword search, people intend to see what is going on through the Internet. Then the integrated comprehensive information on news topics is necessary,...