Empathetic Response Generation
17 papers with code • 1 benchmarks • 1 datasets
Generate empathetic responses in dialogues
Benchmarks
These leaderboards are used to track progress in Empathetic Response Generation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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EmpatheticDialogues
Most implemented papers
CAiRE: An Empathetic Neural Chatbot
In this paper, we present an end-to-end empathetic conversation agent CAiRE.
MIME: MIMicking Emotions for Empathetic Response Generation
declare-lab/MIME
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EMNLP 2020
Current approaches to empathetic response generation view the set of emotions expressed in the input text as a flat structure, where all the emotions are treated uniformly.
Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data
The shortcomings of NLG encoder-decoder models are primarily due to the lack of Arabic datasets suitable to train NLG models such as conversational agents.
Empathetic Dialog Generation with Fine-Grained Intents
yuboxie/meed2
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CoNLL (EMNLP) 2021
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.
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
chujiezheng/CoMAE
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Findings (ACL) 2021
However, existing methods for empathetic response generation usually either consider only one empathy factor or ignore the hierarchical relationships between different factors, leading to a weak ability of empathy modeling.
Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication
declare-lab/exemplary-empathy
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We empirically show that these approaches yield significant improvements in empathetic response quality in terms of both automated and human-evaluated metrics.
Affective Decoding for Empathetic Response Generation
zenggo/affective-decoding-4-empathetic-dialog
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INLG (ACL) 2021
Understanding speaker's feelings and producing appropriate responses with emotion connection is a key communicative skill for empathetic dialogue systems.
CEM: Commonsense-aware Empathetic Response Generation
Sahandfer/CEM
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We evaluate our approach on EmpatheticDialogues, which is a widely-used benchmark dataset for empathetic response generation.
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
skywalker023/focused-empathy
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EMNLP 2021
Empathy is a complex cognitive ability based on the reasoning of others' affective states.
Empathetic Response Generation with State Management
a-rain/state_management_empdialogue
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The emotion-aware dialogue management contains two parts: (1) Emotion state tracking maintains the current emotion state of the user and (2) Empathetic dialogue policy selection predicts a target emotion and a user's intent based on the results of the emotion state tracking.
