Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Training Two-Stage Knowledge-Grounded Dialogues with Attention Feedback.

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Zhen Li

Jiazhan Feng

Chongyang Tao

Dongyan Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Learning to Express in Knowledge-Grounded Conversation.

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[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Who Says What to Whom: A Survey of Multi-Party Conversations.

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[DOI]

Jia-Chen Gu

Chongyang Tao

Zhen-Hua Ling

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning.

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook.

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[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.

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[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations.

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[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.

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[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Multi-Granularity Structural Knowledge Distillation for Language Model Compression.

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[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.

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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory.

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[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation.

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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks.

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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues.

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ACM Trans. Inf. Syst., 2021

Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots.

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[DOI]

ACM Trans. Inf. Syst., 2021

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning.

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CoRR, 2021

A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect.

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[DOI]

CoRR, 2021

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots.

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[DOI]

CoRR, 2021

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study.

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Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Survey on Response Selection for Retrieval-based Dialogues.

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Maria: A Visual Experience Powered Conversational Agent.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding.

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[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection.

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Zero-Resource Knowledge-Grounded Dialogue Generation.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Low-Resource Knowledge-Grounded Dialogue Generation.

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Proceedings of the 8th International Conference on Learning Representations, 2020

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models.

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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification.

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CoRR, 2019

Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.

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Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation.

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Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Classification over Clustering: Augmenting Text Representation with Clusters Helps!

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Proceedings of the Natural Language Processing and Chinese Computing, 2019

Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examples.

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Proceedings of the Natural Language Processing and Chinese Computing, 2019

A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots.

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation.

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Proceedings of the 7th International Conference on Learning Representations, 2019

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural Response Generation with Meta-words.

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Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues.

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