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Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots

https://doi.org/10.18653/v1/d19-1011
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What this work says

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

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Deep learning
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Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System
inferredcites →https://doi.org/10.1145/3132847.3133169openalex-snapshot
AliMe Assist
inferredcites →https://doi.org/10.1145/3289600.3290985openalex-snapshot
Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
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.v31i1.10981openalex-snapshot
Topic Aware Neural Response Generation
inferredcites →https://doi.org/10.1609/aaai.v32i1.11325openalex-snapshot
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
inferredcites →https://doi.org/10.1609/aaai.v32i1.11943openalex-snapshot
Neural Response Generation With Dynamic Vocabularies
inferredcites →https://doi.org/10.1631/fitee.1700826openalex-snapshot
From Eliza to XiaoIce: challenges and opportunities with social chatbots
inferredcites →https://doi.org/10.18653/v1/d13-1096openalex-snapshot
A Dataset for Research on Short-Text Conversations
inferredcites →https://doi.org/10.18653/v1/d16-1036openalex-snapshot
Multi-view Response Selection for Human-Computer Conversation
inferredcites →https://doi.org/10.18653/v1/d17-1215openalex-snapshot
Adversarial Examples for Evaluating Reading Comprehension Systems
inferredcites →https://doi.org/10.18653/v1/k18-1048openalex-snapshot
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge
inferredcites →https://doi.org/10.18653/v1/n16-1170openalex-snapshot
Learning Natural Language Inference with LSTM
inferredcites →https://doi.org/10.18653/v1/p16-2022openalex-snapshot
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
inferredcites →https://doi.org/10.18653/v1/p17-1046openalex-snapshot
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots
inferredcites →https://doi.org/10.18653/v1/p18-1103openalex-snapshot
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
inferredcites →https://doi.org/10.18653/v1/p18-1224openalex-snapshot
Neural Natural Language Inference Models Enhanced with External Knowledge
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/10.24963/ijcai.2018/643openalex-snapshot
Commonsense Knowledge Aware Conversation Generation with Graph Attention
inferredcites →https://doi.org/10.3115/v1/p15-1152openalex-snapshot
Neural Responding Machine for Short-Text Conversation
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1510.03753openalex-snapshot
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
inferredcites →https://doi.org/10.48550/arxiv.1511.04108openalex-snapshot
LSTM-based Deep Learning Models for Non-factoid Answer Selection
inferredcites →https://doi.org/10.48550/arxiv.1604.04378openalex-snapshot
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
inferredcites →https://doi.org/10.48550/arxiv.1801.05032openalex-snapshot
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience
inferredcites →https://doi.org/10.65215/2q58a426openalex-snapshot
Attention Is All You Need

What points at this work

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

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Multi-Turn Dialogue Comprehension from a Topic-Aware Perspective
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Role-Aware Enhanced Matching Network for Multi-turn Response Selection in Customer Service Chatbots
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Enhancing Language Models with Commonsense Knowledge for Multi-turn Response Selection
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A comprehensive solution to retrieval-based chatbot construction
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Multi-turn response selection with Language Style and Topic Aware enhancement
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Deep context modeling for multi-turn response selection in dialogue systems
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A deep learning-based multi-turn conversation modeling for diagnostic Q&A document recommendation
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Multi-turn dialogue comprehension from a topic-aware perspective
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Topic-aware response selection for dialog systems
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Impact of textual and visual complexity and consistency on review usefulness: moderated by commodity price
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Exploiting Text Matching Techniques for Knowledge-Grounded Conversation
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A New Task for Predicting Emotions and Dialogue Strategies in Task-Oriented Dialogue
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Multi-Turn Response Selection Using Business Sequential Relations in Traffic Field
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End States Guided Matching Network for Retrieval-based Multi-turn Conversation
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A Multi Domain Knowledge Enhanced Matching Network for Response Selection in Retrieval-Based Dialogue Systems
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Coarse-To-Fine Knowledge Selection for Document Grounded Dialogs
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Evaluating Retrieval-Based Chatbot Systems: A Focus on Speed and Performance
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Post-encoding and contrastive learning method for response selection task
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Multi -Turn Response Selection with Temporal Gated Graph Convolutional Networks
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Fusion-based Spammer Detection Method by Embedding Review Texts and Weak Social Relations
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A Contrastive Framework for Improving Multi-turn Response Selection
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Multi-Turn Dialogue Reading Comprehension With Pivot Turns and Knowledge
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Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis
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Randomly Wired Network Based on RoBERTa and Dialog History Attention for Response Selection
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Channel-Aware Decoupling Network for Multiturn Dialog Comprehension
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Improving Matching Models With Contextual Attention for Multi-Turn Response Selection in Retrieval-Based Chatbots
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Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems
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Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems
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Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
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What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
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Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems
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Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation
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Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
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Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues
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Group-wise Contrastive Learning for Neural Dialogue Generation
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Dialogue Response Selection with Hierarchical Curriculum Learning
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An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
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Dialogue-oriented Pre-training
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Do It Once: An Embarrassingly Simple Joint Matching Approach to Response Selection
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K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
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FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
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Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination
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DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog
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Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue
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Structural Pre-training for Dialogue Comprehension
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Dialogue-oriented Pre-training
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Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training
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Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning
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Learning to Select Historical News Articles for Interaction based Neural News Recommendation
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Human-Machine Dialogue in the Medical Field. Using Dialog to Collect Important Patient Information
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