Existing algorithms for the Generation of Referring Expressions tend to generate distinguishing descriptions at the semantic level, disregarding the ways in which surface issues c...
Imtiaz Hussain Khan, Kees van Deemter, Graeme Ritc...
We present a complete system that generates Japanese stand-up comedy. Different modules generating different types of jokes are tied together into a performance where all jokes ar...
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
We are developing a corpus-based approach for the prediction of help-desk responses from features in customers’ emails, where responses are represented at two levels of granular...
We report on random stimuli generation for hardware verification in IBM as a major application of various artificial intelligence technologies, including knowledge representation,...
Yehuda Naveh, Michal Rimon, Itai Jaeger, Yoav Katz...