Dr Nathan Duran's Outputs (6)

Modelling generalised symmetry in neural networks (2024)
Presentation / Conference Contribution

Responding to the relationships between stimuli (i.e., relational responding) plays a central role in human intelligence (Colbert, 2017, Cassidy, 2016). Decades of psychological research have shown how relational responding behaviour is first learned... Read More about Modelling generalised symmetry in neural networks.

Conversation analysis for computational modelling of task-oriented dialogue (2023)
Thesis

Current methods of dialogue modelling for Conversational AI (CAI) bear little resemblance to the manner in which humans organise conversational interactions. The way utterances are represented, interpreted, and generated are determined by the necessi... Read More about Conversation analysis for computational modelling of task-oriented dialogue.

Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue (2022)
Journal Article

We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that combines the Conversation Analysis concept of Adjacency Pairs, with Dialogue Acts. The aim is to capture both the semantic and syntactic structure of d... Read More about Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue.

Sentence encoding for dialogue act classification (2021)
Journal Article

In this study, we investigate the process of generating single-sentence representations for the purpose of Dialogue Act (DA) classification, including several aspects of text pre-processing and input representation which are often overlooked or under... Read More about Sentence encoding for dialogue act classification.

Conversation analysis structured dialogue for multi-domain dialogue management (2018)
Presentation / Conference Contribution

Dialogue state tracking is a vital component of task-oriented dialogue systems. Often, dialogue states are constrained by their target domains entity's, slots and values. Adding new domains and knowledge may require laborious hand-crafting or retrain... Read More about Conversation analysis structured dialogue for multi-domain dialogue management.

Probabilistic word association for dialogue act classification with recurrent neural networks (2018)
Book Chapter

The identification of Dialogue Acts (DA) is an important aspect in determining the meaning of an utterance for many applications that require natural language understanding, and recent work using recurrent neural networks (RNN) has shown promising re... Read More about Probabilistic word association for dialogue act classification with recurrent neural networks.