└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # AWESOME-Dialogue 2 | > Paper List for Dialogue Systems (PR is welcome!) 3 | 4 | ## Related Datasets 5 | - [Task-Oriented Dialogue Dataset Survey](https://github.com/AtmaHou/Task-Oriented-Dialogue-Dataset-Survey) 6 | - (2019 EMNLP) [An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction](https://www.aclweb.org/anthology/D19-1131.pdf) 7 | - (2018 D&D) [A Survey of Available Corpora for Building Data-Driven Dialogue Systems](https://breakend.github.io/DialogDatasets/) 8 | - (2017 IJCNLP) [DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset](https://www.aclweb.org/anthology/I17-1099/) 9 | - (1998 LVCSR) [Switchboard Discourse Language Modeling Project Final Report] 10 | - (1990 DARPA) [The ATIS Spoken Language Systems Pilot Corpus] 11 | 12 | ## Related Tutorials 13 | - (2018 COLING)[Deep learning for dialogue systems](https://www.csie.ntu.edu.tw/~yvchen/doc/DeepDialogue_Tutorial_ACL.pdf) 14 | - (2018 SIGIR) [Neural Approaches to Conversational](https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf) 15 | 16 | ## Related Reviews 17 | - (2017 KDD) [A Survey on Dialogue Systems: Recent Advances and New Frontiers](https://arxiv.org/pdf/1711.01731.pdf) 18 | 19 | ## Related Conferences and Journals 20 | ### Coferences 21 | [ACL & EMNLP & NAACL & CoLing](https://www.aclweb.org/anthology/), 22 | [AAAI](https://www.aaai.org/Library/AAAI/aaai-library.php), 23 | [IJCAI](https://www.ijcai.org/proceedings/2019/), 24 | 25 | ### Journals 26 | [IEEE/ACM Transactions on Audio, Speech, and Language Processing](), 27 | [Knowledge-based System](), 28 | 29 | ## Dialogue and Interactive Systems 30 | --- 31 | ### Natural Language Understanding 32 | #### Intent Detection 33 | - (2018 NAACL) [Slot-Gated Modeling for Joint Slot Filling and Intent Prediction](https://www.aclweb.org/anthology/N18-2118/) 34 | - (2018 EMNLP) [Zero-shot User Intent Detection via Capsule Neural Networks](https://www.aclweb.org/anthology/D18-1348.pdf) 35 | - (2018 NAACL) [A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling](https://www.aclweb.org/anthology/N18-2050.pdf) 36 | - (2015 TASLP) [Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding] (https://ieeexplore.ieee.org/document/6998838) 37 | 38 | #### Uknown Intent Detection (Out-of-domain Detection) 39 | - (2020 TASLP) [Out-of-domain Detection for Natural Language Understanding in Dialog Systems](https://ieeexplore.ieee.org/document/9052492) 40 | - (2019 ACL) [Deep Unknown Intent Detection with Margin Loss](https://www.aclweb.org/anthology/P19-1548/) 41 | - (2019 KBS) [A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier](https://www.sciencedirect.com/science/article/abs/pii/S0950705119304034) 42 | - (2018 Interspeech) [Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates](https://arxiv.org/pdf/1807.00072.pdf) 43 | - (2018 EMNLP) [Out-of-domain Detection based on Generative Adversarial Network](https://www.aclweb.org/anthology/D18-1077.pdf) 44 | - (2017 EMNLP) [DOC: Deep Open Classification of Text Documents](https://www.aclweb.org/anthology/D17-1314.pdf) 45 | - (2006 TASLP) [Out-of-Domain Utterance Detection Using Classification Confidences of Multiple Topics](https://ieeexplore.ieee.org/document/4032779) 46 | 47 | #### Intent Discovery 48 | - (2020 AAAI) [Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement](https://arxiv.org/pdf/1911.08891.pdf) 49 | - (2019 EMNLP) [Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning](https://www.aclweb.org/anthology/D18-1072/) 50 | - (2019 EMNLP) [Dialog Intent Induction with Deep Multi-View Clustering](https://www.aclweb.org/anthology/D19-1413.pdf) 51 | - (2018 EMNLP) [Supervised Clustering of Questions into Intents for Dialog System Applications](https://www.aclweb.org/anthology/D18-1254/) 52 | - (2018 Interspeech) [Intent Discovery Through Unsupervised Semantic Text Clustering] (https://www.isca-speech.org/archive/Interspeech_2018/pdfs/2436.pdf) 53 | - (2017 EMNLP) [Using Context Information for Dialog Act Classification in DNN Framework](https://www.aclweb.org/anthology/D17-1231.pdf) 54 | - (2017 EACL) [Unsupervised Dialogue Act Induction using Gaussian Mixtures](https://www.aclweb.org/anthology/E17-2078.pdf) 55 | - (2015 Interspeech) [Clustering Novel Intents in a Conversational Interaction System with Semantic Parsing](https://www.researchgate.net/publication/305719953_Clustering_Novel_Intents_in_a_Conversational_Interaction_System_with_Semantic_Parsing) 56 | - (2015 ECML) [Clustering by intent: A semi-supervised method to discover relevant clusters incrementally] (https://link.springer.com/chapter/10.1007/978-3-319-23461-8_2) 57 | 58 | ##### Deep Clustering 59 | - (2018 ICLR) [Learning to Cluster in Order to Transfer Across Domains and Tasks](https://arxiv.org/pdf/1711.10125.pdf) 60 | - (2017 ICCV) [Deep adaptive image clustering](openaccess.thecvf.com/content_ICCV_2017/papers/Chang_Deep_Adaptive_Image_ICCV_2017_paper.pdf) 61 | - (2017 ICML) [Towards k-means-friendly spaces: Simultaneous deep learning and clustering](https://dl.acm.org/doi/10.5555/3305890.3306080) 62 | - (2016 ICML) [Unsupervised Deep Embedding for Clustering Analysis](https://arxiv.org/pdf/1511.06335.pdf) 63 | - (2016 CoNNL) [Semi-supervised Clustering for Short Text via Deep Representation Learning] (https://www.aclweb.org/anthology/K16-1004.pdf) 64 | - (2015 ACL workshop) [Short Text Clustering via Convolutional Neural Networks](https://www.aclweb.org/anthology/W15-1509.pdf) 65 | 66 | ### Dialogue Management 67 | TBD 68 | 69 | ### Natural Language Generation 70 | TBD 71 | 72 | ### End-to-end 73 | - (2020 AAAI) [End-to-End Trainable Non-Collaborative Dialog System] (https://arxiv.org/pdf/1911.10742.pdf) 74 | 75 | --------------------------------------------------------------------------------