Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
The alignment problem--establishing links between corresponding phrases in two related sentences--is as important in natural language inference (NLI) as it is in machine translati...
Bill MacCartney, Michel Galley, Christopher D. Man...
As the requirements for system analysis and design become more complex, the need for a natural, yet formal way of specifying system analysis findings and design decisions are becom...
: We consider communication between modules in an integrated architecture for Speech and Natural Language (NL), in particular the communication with the semantics module. In an int...
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...