A General, Abstract Model of Incremental Dialogue Processing

By David Schlangen, Gabriel Skantze. 2009

295 citations recorded by the source corpus.

We present a general model and conceptual framework for specifying architectures for incremental processing in dialogue systems, in particular with respect to the topology of the network of modules that make up the system, the way information flows through this network, how information increments are 'packaged', and how these increments are processed by the modules. This model enables the precise specification of incremental systems and hence facilitates detailed comparisons between systems, as well as giving guidance on designing new systems.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

Citations in the corpus

Incremental Learning from Scratch for Task-Oriented Dialogue Systems (2019, background): “The term “incremental” refers to systems able to operate on a word by word basis in the previous work (Eshghi et al., 2017; Schlangen and Skantze, 2009).”
Interpreting Situated Dialogue Utterances: an Update Model that Uses Speech, Gaze, and Gesture Information (2013, background): “…interpretations nor incremental speciﬁcations of the representations; incremental NLU (DeVault et al., 2009; DeVault et al., 2011; Aist et al., 2007; Schlangen and Skantze, 2009), which focuses on incrementality, but not on situational grounding; integration of gaze into language understanding…”