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  • ACL2019对话、问答相关论文整理

    对话系统:
    Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
    Incremental Learning from Scratch for Task-Oriented Dialogue Systems
    Joint Effects of Context and User History for Predicting Online Conversation Re-entries
    Proactive Human-Machine Conversation with Explicit Conversation Goal
    Pretraining Methods for Dialog Context Representation Learning
    A Large-Scale Corpus for Conversation Disentanglement
    Self-Supervised Dialogue Learning
    What should I ask? Using conversationally informative rewards for goal-oriented visual dialog.
    Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
    Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
    Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
    Reinforced Dynamic Reasoning for Conversational Question Generation
    Collaborative Dialogue in Minecraft
    Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
    Fine-Grained Sentence Functions for Short-Text Conversation
    Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
    Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
    Improving Neural Conversational Models with Entropy-Based Data Filtering

    问答系统:
    Unsupervised Question Answering by Cloze Translation
    Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
    Generating Question-Answer Hierarchies
    Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
    Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
    Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network
    Improving the Robustness of Question Answering Systems to Question Paraphrasing
    ELI5: Long Form Question Answering
    RankQA: Neural Question Answering with Answer Re-Ranking
    Latent Retrieval for Weakly Supervised Open Domain Question Answering
    Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
    Careful Selection of Knowledge to solve Open Book Question Answering
    Learning Representation Mapping for Relation Detection in Knowledge
    Base Question Answering
    Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for multi-Hop QA
    TW.EETQA: A Social Media Focused Question Answering Dataset

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  • 原文地址:https://www.cnblogs.com/bincoding/p/12221096.html
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