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Found 18 papers, 9 papers with code
iEval: Interactive Evaluation Framework for Open-Domain Empathetic Chatbots
Building an empathetic chatbot is an important objective in dialog generation research, with evaluation being one of the most challenging parts.
A Taxonomy of Empathetic Questions in Social Dialogs
To address this gap, we have developed an empathetic question taxonomy (EQT), with special attention paid to questions’ ability to capture communicative acts and their emotion-regulation intents.
Curating a Large-Scale Motivational Interviewing Dataset Using Peer Support Forums
We use this data to conclude the extent to which conversational data from peer support platforms align with real therapeutic conversations and discuss in what ways they can be exploited to train therapeutic chatbots.
A Large-Scale Dataset for Empathetic Response Generation
Recent development in NLP shows a strong trend towards refining pre-trained models with a domain-specific dataset.
Is ChatGPT More Empathetic than Humans?
This paper investigates the empathetic responding capabilities of ChatGPT, particularly its latest iteration, GPT-4, in comparison to human-generated responses to a wide range of emotional scenarios, both positive and negative.
Use of a Taxonomy of Empathetic Response Intents to Control and Interpret Empathy in Neural Chatbots
In this work, we make use of a taxonomy of eight empathetic response intents in addition to generic emotion categories in building a dialogue response generation model capable of generating empathetic responses in a controllable and interpretable manner.
Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy
AI-driven chatbots have become an emerging solution to address psychological distress.
Approximating Online Human Evaluation of Social Chatbots with Prompting
Existing evaluation metrics aim to automate offline user evaluation and approximate human judgment of pre-curated dialogs.
This joke is [MASK]: Recognizing Humor and Offense with Prompting
Humor is a magnetic component in everyday human interactions and communications.
AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations
The knowledge captured in this graph bears potential for conversational systems to understand how people offer acknowledgement, consoling, and a wide range of empathetic responses in social conversations.
How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies
In this paper, we give an overview of commonsense reasoning in natural language processing, which requires a deeper understanding of the contexts and usually involves inference over implicit external knowledge.
HumorHunter at SemEval-2021 Task 7: Humor and Offense Recognition with Disentangled Attention
The task aims at predicting whether the given text is humorous, the average humor rating given by the annotators, and whether the humor rating is controversial.
Empathetic Dialog Generation with Fine-Grained Intents
Empathetic dialog generation aims at generating coherent responses following previous dialog turns and, more importantly, showing a sense of caring and a desire to help.
Fine-grained Emotion and Intent Learning in Movie Dialogues
We propose a novel large-scale emotional dialogue dataset, consisting of 1M dialogues retrieved from the OpenSubtitles corpus and annotated with 32 emotions and 9 empathetic response intents using a BERT-based fine-grained dialogue emotion classifier.
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition
Humor recognition has been widely studied as a text classification problem using data-driven approaches.
A Taxonomy of Empathetic Response Intents in Human Social Conversations
Our goal is to produce a large-scale taxonomy for empathetic response intents.
A Multi-Turn Emotionally Engaging Dialog Model
Open-domain dialog systems (also known as chatbots) have increasingly drawn attention in natural language processing.
