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Towards Modelling Self-imposed Filter Bubbles in Argumentative Dialogue Systems
To build a well-founded opinion it is natural for humans to gather and exchange new arguments.
User Interest Modelling in Argumentative Dialogue Systems
Most systems helping to provide structured information and support opinion building, discuss with users without considering their individual interest.
Towards Building a Spoken Dialogue System for Argument Exploration
We evaluate the likeability and motivation of users to interact with the new system in a user study.
Towards Speech-only Opinion-level Sentiment Analysis
The growing popularity of various forms of Spoken Dialogue Systems (SDS) raises the demand for their capability of implicitly assessing the speaker’s sentiment from speech only.
Fostering User Engagement in the Critical Reflection of Arguments
To support a fair and unbiased opinion-building process, we propose a chatbot system that engages in a deliberative dialogue with a human.
Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain
Intent classifier model stacks BiLSTM with attention mechanism on top of the pre-trained BERT model and fine-tune the model for recognizing the user intent, whereas the argument similarity model employs BERT+BiLSTM for identifying system arguments the user refers to in his or her natural language utterances.
