Papers by Isabel Feustel

2 papers
Estimating User Communication Styles for Spoken Dialogue Systems (2020.lrec-1)

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Challenge: a neural network estimation system for spoken dialogues can be used to estimate the communication style of a user's interaction, but this is rarely implemented in a live system.
Approach: They propose a neural network approach to estimate the communication style of spoken interaction, namely elaborateness and directness.
Outcome: The proposed method can estimate the elaborateness and directness of spoken interaction and improve the results with additional linguistic features.
Towards Building a Spoken Dialogue System for Argument Exploration (2022.lrec-1)

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Challenge: Argumentative dialogue systems lack a robust natural language understanding framework for complex tasks . drop-down menus hinder the application of natural language learning approaches .
Approach: They propose to integrate a natural language understanding framework into an argumentative dialogue system.
Outcome: The proposed system is compared to a baseline system using a drop-down menu . the drop- down menu convinces, but the willingness to use it is significantly higher .

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