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Paper Reading List in Natural Language Processing

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Paper Reading List in Natural Language Processing

🧐 Table of Contents

Dialogue System

Background Based Conversation

  • GLKS: Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. AAAI-2020 [paper] [code]
  • RefNet: RefNet: A Reference-Aware Network for Background Based Conversation. AAAI-2020 [paper] [code]
  • CaKe: Improving Background Based Conversation with Context-aware Knowledge Pre-selection. arXiv-2019 [paper] [code]

Dataset for Dialogue

  • Pchatbot: Pchatbot: A Large-Scale Dataset for Personalized Chatbot. SIGIR-2021 [paper] [data]
  • MuTual: A Dataset for Multi-Turn Dialogue Reasoning. ACL-2020 [paper] [data]
  • Pushshift Reddit: The Pushshift Reddit Dataset. ICWSM-2020 [paper] [data]
  • Wizard of Wikipedia: Wizard of Wikipedia: Knowledge-Powered Conversational Agents. ICLR-2019 [paper] [data]
  • Holl-E: Towards Exploiting Background Knowledge for Building Conversation Systems. EMNLP-2018 [paper] [code]
  • OpenSubtitles2018: OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora. LREC-2018 [paper] [data]
  • PERSONA-CHAT: Personalizing Dialogue Agents: I have a dog, do you have pets too? ACL-2018 [paper]
  • DailyDialog: DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset. IJCNLP-2017 [paper] [data]
  • Douban Conversation Corpus: Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. ACL-2017 [paper] [data]
  • OpenSubtitles2016: OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. LREC-2016 [paper] [data]
  • Ubuntu Dialogue Corpus: The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. SIGDIAL-2015 [paper] [data]
  • Cornell Movie Dialogs Corpus: Chameleons in Imagined Conversations: A New Approach to Understanding Coordination of Linguistic Style in Dialogs. CMCL@ACL-2011 [paper] [data]

Emotional Dialogue

  • MOJITALK: MOJITALK: Generating Emotional Responses at Scale. ACL-2018 [paper]

Evaluation of Dialogue

  • Holistic Evaluation: Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. ACL-2020 [paper] [code]
  • RS: Evaluating Dialogue Generation Systems via Response Selection. ACL-2020 [paper] [test set]
  • υBLEU: υBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems. ACL-2020 [paper] [code&datasets]
  • Empirical Study: How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. EMNLP-2016 [paper]
  • BLEU: BLEU: a Method for Automatic Evaluation of Machine Translation. ACL-2002 [paper]

Knowledge Grounded Dialogue

  • HADG: Knowledge-aware Dialogue Generation with Hybrid Attention (Student Abstract). AAAI-2021 [paper]
  • ConKADI: Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness. ACL-2020 [paper] [code]
  • Div-Non-Conv: Diversifying Dialogue Generation with Non-Conversational Text. ACL-2020 [paper] [code]
  • KIC: Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. ACL-2020 [paper]
  • Low-Resource KG: Low-Resource Knowledge-Grounded Dialogue Generation. ICLR-2020 [paper]
  • PIPM-KDBTS: Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. EMNLP-2020 [paper] [code]
  • TransDG: Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering. AAAI-2020 [paper] [code]
  • ZRKGC: Zero-Resource Knowledge-Grounded Dialogue Generation. NeurIPS-2020 [paper] [code]
  • PostKS: Learning to Select Knowledge for Response Generation in Dialog Systems. IJCAI-2019 [paper] [code]
  • Mem2Seq: Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems. ACL-2018 [paper] [code]
  • NKD: Knowledge Diffusion for Neural Dialogue Generation. ACL-2018 [paper] [code]

Open-domain Dialogue

  • MDFN: Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue. AAAI-2021 [paper] [code]
  • Adp Multi-CL: Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation. AAAI-2020 [paper]
  • DialogRPT: Dialogue Response Ranking Training with Large-Scale Human Feedback Data. EMNLP-2020 [paper] [code]
  • PS: Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory. arXiv-2020 [paper]
  • Edit-N-Rerank: Response Generation by Context-aware Prototype Editing. AAAI-2019 [paper] [code]
  • SeqGen: Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework. EMNLP-2019 [paper] [code]
  • SR: Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. NAACL-2019 [paper]
  • NEXUS: NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation. EMNLP-2018 [paper]
  • CVAE: Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders. ACL-2017 [paper]
  • DRL: Deep Reinforcement Learning for Dialogue Generation. EMNLP-2016 [paper]
  • MMI: A Diversity-Promoting Objective Function for Neural Conversation Models. NAACL-2016 [paper]
  • NCM: A Neural Conversational Model. arXiv-2015 [paper]

Personalized Dialogue

  • DHAP: One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. SIGIR-2021 [paper] [code]
  • FewShot-PCM: Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. AAAI-2021 [paper] [code]
  • SPD: Detecting Speaker Personas from Conversational Texts. EMNLP-2021 [paper] [code]
  • GCC: Large Scale Multi-Actor Generative Dialog Modeling. ACL-2020 [paper]
  • GDR: Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. ACL-2020 [paper]
  • KvPI: Profile Consistency Identification for Open-domain Dialogue Agents. EMNLP-2020 [paper] [code]
  • P2 Bot: You Impress Me: Dialogue Generation via Mutual Persona Perception. ACL-2020 [paper] [code]
  • PAGenerator: Guiding Variational Response Generator to Exploit Persona. ACL-2020 [paper]
  • PEE: A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation. ECAI-2020 [paper]
  • Persona-sparse: A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data. AAAI-2020 [paper]
  • RCDG: Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. AAAI-2020 [paper] [code]
  • Self-Consciousness: Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness. EMNLP-2020 [paper] [code]
  • PAML: Personalizing Dialogue Agents via Meta-Learning. ACL-2019 [paper] [code]
  • PerCVAE: Exploiting Persona Information for Diverse Generation of Conversational Responses. IJCAI-2019 [paper] [code]
  • PerDG: Personalized Dialogue Generation with Diversified Traits. arXiv-2019 [paper]
  • NPRG-DM: Neural personalized response generation as domain adaptation. WWW-2018 [paper]
  • PCCM: Assigning Personality Profile to a Chatting Machine for Coherent Conversation Generation. IJCAI-2018 [paper]
  • PerDA: Training Millions of Personalized Dialogue Agents. EMNLP-2018 [paper]
  • CoPerHED: Exploring Personalized Neural Conversational Models. IJCAI-2017 [paper]
  • PRG-DM: Personalized Response Generation via Domain adaptation. SIGIR-2017 [paper]
  • PerNCM: A Persona-Based Neural Conversation Model. ACL-2016 [paper]
  • PERSONAGE: PERSONAGE: Personality Generation for Dialogue. ACL-2007 [paper]

Survey on Dialogue

  • A Systematic Survey: Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. arXiv-2021 [paper]
  • Challenges: Challenges in Building Intelligent Open-domain Dialog Systems. TOIS-2020 [paper]
  • Recipes: Recipes for building an open-domain chatbot. arXiv-2020 [paper]
  • Recent Advances and New Frontiers: A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD-2017 [paper]

Task-oriented Dialogue

  • DAST: A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting. AAAI-2021 [paper]
  • DDMN: Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems. COLING-2020 [paper] [code]
  • DF-Net: Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. ACL-2020 [paper] [code]
  • MALA: MALA: Cross-Domain Dialogue Generation with Action Learning. AAAI-2020 [paper]
  • BossNet: Disentangling Language and Knowledge in Task-Oriented Dialogs. NAACL-2019 [paper] [code]
  • GLMP: GLOBAL-TO-LOCAL MEMORY POINTER NETWORKS FOR TASK-ORIENTED DIALOGUE. ICLR-2019 [paper] [code]
  • KB Retriever: Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever. EMNLP-2019 [paper] [data]
  • TRADE: Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. ACL-2019 [paper] [code]
  • DSR: Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation. COLING-2018 [paper]
  • StateNet: Towards Universal Dialogue State Tracking. EMNLP-2018 [paper]
  • TSCP: Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL-2018 [paper] [code]

Pre-trained Language Model

  • ALBERT: ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ICLR-2020 [paper] [code]
  • BERT: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-2019 [paper] [code]
  • ERNIE: ERNIE: Enhanced Language Representation with Informative Entities. ACL-2019 [paper] [code]
  • Interpret_BERT: What does BERT learn about the structure of language? ACL-2019 [paper] [code]
  • UniLM: Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS-2019 [paper] [code]
  • XLNet: XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS-2019 [paper] [code]

Text Summarization

Abstractive

  • GTTP: Get To The Point: Summarization with Pointer-Generator Networks. ACL-2017 [paper] [code]

Transformer Series

  • GRET: GRET: Global Representation Enhanced Transformer. AAAI-2020 [paper]
  • Reformer: REFORMER: THE EFFICIENT TRANSFORMER. ICLR-2020 [paper] [code]
  • Transformer-XL: Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. ACL-2019 [paper] [code]
  • Universal Transformers: UNIVERSAL TRANSFORMERS. ICLR-2019 [paper] [code]
  • Transformer: Attention Is All You Need. NeurIPS-2017 [paper] [code-official] [code-tf] [code-py]

Word Embedding

  • Doc2Vec: Distributed Representations of Sentences and Documents. ICML-2014 [paper]
  • Glove: GloVe: Global Vectors for Word Representation. EMNLP-2014 [paper] [code]
  • Word2Vec-Extension: Distributed Representations of Words and Phrases and their Compositionality. NeurIPS-2013 [paper]
  • Word2Vec-Oringinal: Efficient Estimation of Word Representations in Vector Space. ICLR Workshop Poster-2013 [paper] [code]

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Paper Reading List in Natural Language Processing

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