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08/11/2023
PIPPA: A Partially Synthetic Conversational Dataset
With the emergence of increasingly powerful large language models, there...
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05/11/2023
Long-Tailed Question Answering in an Open World
Real-world data often have an open long-tailed distribution, and buildin...
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05/11/2023
Domain Incremental Lifelong Learning in an Open World
Lifelong learning (LL) is an important ability for NLP models to learn n...
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05/05/2023
Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
Out-of-Domain (OOD) intent detection is vital for practical dialogue sys...
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05/05/2023
A Survey on Out-of-Distribution Detection in NLP
Out-of-distribution (OOD) detection is essential for the reliable and sa...
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02/23/2023
Empathetic Response Generation via Emotion Cause Transition Graph
Empathetic dialogue is a human-like behavior that requires the perceptio...
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11/23/2022
Semi-Supervised Lifelong Language Learning
Lifelong learning aims to accumulate knowledge and alleviate catastrophi...
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11/10/2022
Estimating Soft Labels for Out-of-Domain Intent Detection
Out-of-Domain (OOD) intent detection is important for practical dialog s...
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10/16/2022
CDConv: A Benchmark for Contradiction Detection in Chinese Conversations
Dialogue contradiction is a critical issue in open-domain dialogue syste...
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10/14/2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...
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09/21/2022
Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China
The growing demand for mental health support has highlighted the importa...
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08/31/2022
Lifelong Learning for Question Answering with Hierarchical Prompts
QA models with lifelong learning (LL) abilities are important for practi...
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05/24/2022
Accuracy on In-Domain Samples Matters When Building Out-of-Domain detectors: A Reply to Marek et al. (2021)
We have noticed that Marek et al. (2021) try to re-implement our paper Z...
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03/23/2022
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis
Many studies on dialog emotion analysis focus on utterance-level emotion...
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03/22/2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
Building models of natural language processing (NLP) is challenging in l...
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02/28/2022
Rethinking and Refining the Distinct Metric
Distinct is a widely used automatic metric for evaluating the diversity ...
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11/29/2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Pre-trained models have proved to be powerful in enhancing task-oriented...
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11/01/2021
Unsupervised Domain Adaptation with Adapter
Unsupervised domain adaptation (UDA) with pre-trained language models (P...
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09/16/2021
Transferable Persona-Grounded Dialogues via Grounded Minimal Edits
Grounded dialogue models generate responses that are grounded on certain...
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08/16/2021
MMChat: Multi-Modal Chat Dataset on Social Media
Incorporating multi-modal contexts in conversation is an important step ...
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08/03/2021
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
Although pre-trained language models have remarkably enhanced the genera...
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06/06/2021
Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues
In this paper, we propose to combine pretrained language models with the...
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05/30/2021
Diversifying Dialog Generation via Adaptive Label Smoothing
Neural dialogue generation models trained with the one-hot target distri...
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10/27/2020
Listener's Social Identity Matters in Personalised Response Generation
Personalised response generation enables generating human-like responses...
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09/27/2020
Stylized Dialogue Response Generation Using Stylized Unpaired Texts
Generating stylized responses is essential to build intelligent and enga...
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09/20/2020
Dialogue Distillation: Open-domain Dialogue Augmentation Using Unpaired Data
Recent advances in open-domain dialogue systems rely on the success of n...
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08/10/2020
A Large-Scale Chinese Short-Text Conversation Dataset
The advancements of neural dialogue generation models show promising res...
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11/12/2019
A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data
Endowing dialogue systems with personas is essential to deliver more hum...
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09/09/2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems
In natural language understanding components, detecting out-of-domain (O...
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01/28/2019
