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Found 6 papers, 0 papers with code
Fine-Grained Analysis of Team Collaborative Dialogue
Natural language analysis of human collaborative chat dialogues is an understudied domain with many unique challenges: a large number of dialogue act labels, underspecified and dynamic tasks, interleaved topics, and long-range contextual dependence.
Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models
Our study evaluates the resilience of these models against adversarial attacks using explainability techniques.
Cogent: A Generic Dialogue System Shell Based on a Collaborative Problem Solving Model
We implemented the model in a dialogue system shell (Cogent) that al-lows developers to plug in problem-solving agents to create dialogue systems in new domains.
A Situated Dialogue System for Learning Structural Concepts in Blocks World
We present a modular, end-to-end dialogue system for a situated agent to address a multimodal, natural language dialogue task in which the agent learns complex representations of block structure classes through assertions, demonstrations, and questioning.
Building and Learning Structures in a Situated Blocks World Through Deep Language Understanding
We demonstrate a system for understanding natural language utterances for structure description and placement in a situated blocks world context.
