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ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection ...
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Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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3
Discourse-Driven Integrated Dialogue Development Environment for Open-Domain Dialogue Systems ...
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Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation ...
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5
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation ...
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Towards Realistic Single-Task Continuous Learning Research for NER ...
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Automated Template Paraphrasing for Conversational Assistants ...
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Elementary-Level Math Word Problem Generation using Pre-Trained Transformers ...
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9
MURAL: Multimodal, Multitask Representations Across Languages ...
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10
Challenges in Detoxifying Language Models ...
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11
Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems ...
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12
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Detection in Conversational AI ...
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13
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog ...
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14
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks ...
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15
A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding ...
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16
Coral: An Approach for Conversational Agents in Mental Health Applications ...
Abstract: It may be difficult for some individuals to open up and share their thoughts and feelings in front of a mental health expert. For those who are more at ease with a virtual agent, conversational agents can serve as an intermediate step in the right direction. The conversational agent must, therefore, be empathetic and able to conduct free-flowing conversations. To this effect, we present an approach for creating a generative empathetic open-domain chatbot that can be used for mental health applications. We leverage large scale pre-training and empathetic conversational data to make the responses more empathetic in nature and a multi-turn dialogue arrangement to maintain context. Our models achieve state-of-the-art results on the Empathetic Dialogues test set. ...
Keyword: Computational Linguistics; Conversational Agent; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/39663-coral-an-approach-for-conversational-agents-in-mental-health-applications
https://dx.doi.org/10.48448/ftfx-q220
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17
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection ...
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Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text ...
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19
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning ...
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20
"I don't know who she is": Discourse and Knowledge Driven Coreference Resolution ...
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