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04/12/2022
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting
Current Knowledge-Grounded Dialogue Generation (KDG) models specialize i...
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03/18/2022
FORCE: A Framework of Rule-Based Conversational Recommender System
The conversational recommender systems (CRSs) have received extensive at...
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03/16/2022
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge
Generating natural and informative texts has been a long-standing proble...
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03/16/2022
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations
Recently, various response generation models for two-party conversations...
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02/25/2022
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
This paper focuses on the Data Augmentation for low-resource Natural Lan...
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11/19/2021
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Retrieve-based dialogue response selection aims to find a proper respons...
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10/16/2021
Multimodal Dialogue Response Generation
Responsing with image has been recognized as an important capability for...
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10/14/2021
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph
In this paper, we present a pre-trained language model (PLM) based frame...
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09/25/2021
Learning Neural Templates for Recommender Dialogue System
Though recent end-to-end neural models have shown promising progress on ...
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09/24/2021
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations
We study the problem of coarse-grained response selection in retrieval-b...
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09/05/2021
Re-entry Prediction for Online Conversations via Self-Supervised Learning
In recent years, world business in online discussions and opinion sharin...
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05/27/2021
Maria: A Visual Experience Powered Conversational Agent
Arguably, the visual perception of conversational agents to the physical...
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08/18/2020
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
Link prediction is the task of predicting missing connections between en...
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06/11/2020
Dance Revolution: Long Sequence Dance Generation with Music via Curriculum Learning
Dancing to music is one of human's innate abilities since ancient times....
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04/04/2020
Open Domain Dialogue Generation with Latent Images
We consider grounding open domain dialogues with images. Existing work a...
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06/14/2019
Neural Response Generation with Meta-Words
We present open domain response generation with meta-words. A meta-word ...
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08/23/2018