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A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation

https://doi.org/10.1145/3522763
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11280-018-0598-6openalex-snapshot
Neural personalized response generation as domain adaptation
inferredcites →https://doi.org/10.1038/nature16961openalex-snapshot
Mastering the game of Go with deep neural networks and tree search
inferredcites →https://doi.org/10.1075/cilt.309.19tieopenalex-snapshot
News from OPUS — A collection of multilingual parallel corpora with tools and interfaces
inferredcites →https://doi.org/10.1093/mind/lix.236.433openalex-snapshot
I.—COMPUTING MACHINERY AND INTELLIGENCE
inferredcites →https://doi.org/10.1109/icdm47104.2019openalex-snapshot
2019 IEEE International Conference on Data Mining (ICDM)
inferredcites →https://doi.org/10.1145/3343258openalex-snapshot
Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems
inferredcites →https://doi.org/10.1145/3366423.3379996openalex-snapshot
Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems
inferredcites →https://doi.org/10.1145/3383123openalex-snapshot
Challenges in Building Intelligent Open-domain Dialog Systems
inferredcites →https://doi.org/10.1145/3394486.3403211openalex-snapshot
Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems
inferredcites →https://doi.org/10.1145/3394592openalex-snapshot
CRSAL
inferredcites →https://doi.org/10.1145/3397271.3401255openalex-snapshot
Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation
inferredcites →https://doi.org/10.1145/3397271.3401461openalex-snapshot
AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems
inferredcites →https://doi.org/10.1609/aaai.v30i1.9883openalex-snapshot
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
inferredcites →https://doi.org/10.1609/aaai.v31i1.10804openalex-snapshot
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
inferredcites →https://doi.org/10.1609/aaai.v31i1.10983openalex-snapshot
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
inferredcites →https://doi.org/10.1609/aaai.v31i1.10984openalex-snapshot
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
inferredcites →https://doi.org/10.1609/aaai.v32i1.11965openalex-snapshot
Hierarchical Recurrent Attention Network for Response Generation
inferredcites →https://doi.org/10.18653/v1/2020.acl-mainopenalex-snapshot
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-mainopenalex-snapshot
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
inferredcites →https://doi.org/10.18653/v1/d16-1127openalex-snapshot
Deep Reinforcement Learning for Dialogue Generation
inferredcites →https://doi.org/10.18653/v1/d18-1openalex-snapshot
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d19-1192openalex-snapshot
Unsupervised Context Rewriting for Open Domain Conversation
inferredcites →https://doi.org/10.18653/v1/n16-1014openalex-snapshot
A Diversity-Promoting Objective Function for Neural Conversation Models
inferredcites →https://doi.org/10.18653/v1/p16-1094openalex-snapshot
A Persona-Based Neural Conversation Model
inferredcites →https://doi.org/10.18653/v1/p17-1061openalex-snapshot
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
inferredcites →https://doi.org/10.18653/v1/p17-2036openalex-snapshot
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models
inferredcites →https://doi.org/10.18653/v1/p17-2080openalex-snapshot
A Conditional Variational Framework for Dialog Generation
inferredcites →https://doi.org/10.18653/v1/p19-1362openalex-snapshot
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
inferredcites →https://doi.org/10.18653/v1/p19-1549openalex-snapshot
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
inferredcites →https://doi.org/10.18653/v1/s17-1008openalex-snapshot
Deep Active Learning for Dialogue Generation
inferredcites →https://doi.org/10.18653/v1/w15-4640openalex-snapshot
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
inferredcites →https://doi.org/10.3115/1071884openalex-snapshot
Proceedings of the 19th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3115/v1/p15-1152openalex-snapshot
Neural Responding Machine for Short-Text Conversation
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1506.05869openalex-snapshot
A Neural Conversational Model
inferredcites →https://doi.org/10.48550/arxiv.1608.05554openalex-snapshot
Learning to Start for Sequence to Sequence Architecture
inferredcites →https://doi.org/10.48550/arxiv.1912.09879openalex-snapshot
When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-44693-1_66openalex-snapshot
Discourse Relation-Aware Multi-turn Dialogue Response Generation
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102469openalex-snapshot
ChatMDG: A discourse parsing graph fusion based approach for multi-party dialogue generation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128692openalex-snapshot
CoMaSa:Context Multi-aware Self-attention for emotional response generation
inferred← citeshttps://doi.org/10.1109/access.2024.3492009openalex-snapshot
TEMDG: A Multi-Round Dialogue Generation Model Incorporating Topic and Historical Information
inferred← citeshttps://doi.org/10.1109/ccwc57344.2023.10099179openalex-snapshot
Prompting Large Language Models With the Socratic Method
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3470323openalex-snapshot
Enhancing Clinical Accuracy of Medical Chatbots With Large Language Models
inferred← citeshttps://doi.org/10.1109/tbdata.2023.3316472openalex-snapshot
PHAED: A Speaker-Aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-Turn Dialogue Generation
inferred← citeshttps://doi.org/10.1145/3698191openalex-snapshot
Revisiting Conversation Discourse for Dialogue Disentanglement
inferred← citeshttps://doi.org/10.1145/3749421.3749429openalex-snapshot
CRIT: Socratic Inquiry for Critical Thinking in LLMs
inferred← citeshttps://doi.org/10.1145/3808220openalex-snapshot
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog
inferred← citeshttps://doi.org/10.1177/02762374251353671openalex-snapshot
Examining Artificial Intelligence Anxiety in the Context of Anthropocentrism and the Art Turing Test
inferred← citeshttps://doi.org/10.2478/amns-2024-3569openalex-snapshot
Research on Effective Information Extraction Techniques for Multi-Round Dialogues of Large-Scale Models in Deep Learning Environment
inferred← citeshttps://doi.org/10.3390/app151910696openalex-snapshot
Applied with Caution: Extreme-Scenario Testing Reveals Significant Risks in Using LLMs for Humanities and Social Sciences Paper Evaluation
inferred← citeshttps://doi.org/10.3390/electronics14061101openalex-snapshot
Exploration of Cross-Modal AIGC Integration in Unity3D for Game Art Creation
inferred← citeshttps://doi.org/10.54254/2755-2721/8/20230299openalex-snapshot
The Advance of Multi-Round Dialogue System with Deep Learning
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