Paper List for Dialogue Systems (PR is welcome!)
- Task-Oriented Dialogue Dataset Survey
- (2019 EMNLP) An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
- (2018 D&D) A Survey of Available Corpora for Building Data-Driven Dialogue Systems
- (2017 IJCNLP) DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
- (1998 LVCSR) [Switchboard Discourse Language Modeling Project Final Report]
- (1990 DARPA) [The ATIS Spoken Language Systems Pilot Corpus]
- (2018 COLING)Deep learning for dialogue systems
- (2018 SIGIR) Neural Approaches to Conversational
ACL & EMNLP & NAACL & CoLing, AAAI, IJCAI,
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Knowledge-based System,
- (2018 NAACL) Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
- (2018 EMNLP) Zero-shot User Intent Detection via Capsule Neural Networks
- (2018 NAACL) A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
- (2015 TASLP) [Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding] (https://ieeexplore.ieee.org/document/6998838)
- (2020 TASLP) Out-of-domain Detection for Natural Language Understanding in Dialog Systems
- (2019 ACL) Deep Unknown Intent Detection with Margin Loss
- (2019 KBS) A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier
- (2018 Interspeech) Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates
- (2018 EMNLP) Out-of-domain Detection based on Generative Adversarial Network
- (2017 EMNLP) DOC: Deep Open Classification of Text Documents
- (2006 TASLP) Out-of-Domain Utterance Detection Using Classification Confidences of Multiple Topics
- (2020 AAAI) Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
- (2019 EMNLP) Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
- (2019 EMNLP) Dialog Intent Induction with Deep Multi-View Clustering
- (2018 EMNLP) Supervised Clustering of Questions into Intents for Dialog System Applications
- (2018 Interspeech) [Intent Discovery Through Unsupervised Semantic Text Clustering] (https://www.isca-speech.org/archive/Interspeech_2018/pdfs/2436.pdf)
- (2017 EMNLP) Using Context Information for Dialog Act Classification in DNN Framework
- (2017 EACL) Unsupervised Dialogue Act Induction using Gaussian Mixtures
- (2015 Interspeech) Clustering Novel Intents in a Conversational Interaction System with Semantic Parsing
- (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)
- (2018 ICLR) Learning to Cluster in Order to Transfer Across Domains and Tasks
- (2017 ICCV) Deep adaptive image clustering
- (2017 ICML) Towards k-means-friendly spaces: Simultaneous deep learning and clustering
- (2016 ICML) Unsupervised Deep Embedding for Clustering Analysis
- (2016 CoNNL) [Semi-supervised Clustering for Short Text via Deep Representation Learning] (https://www.aclweb.org/anthology/K16-1004.pdf)
- (2015 ACL workshop) Short Text Clustering via Convolutional Neural Networks
TBD
TBD
- (2020 AAAI) [End-to-End Trainable Non-Collaborative Dialog System] (https://arxiv.org/pdf/1911.10742.pdf)