Do unsophisticated consumers fall prey to Internet consumer frauds? Why? To answer these questions this paper integrates two streams of empirical research: the process-oriented th...
Finding patterns in temporal data is an important data analysis task in many domains. Static visualizations can help users easily see certain instances of patterns, but are not sp...
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....
Using Web information in example-based dialogue systems is considered to be a good way to increase the topical relevance of system responses. However, Web content is mostly written...