awesome-disentanglement-in-nlp
A curated list of disentanglement in NLP. :-)
https://github.com/zhjohnchan/awesome-disentanglement-in-nlp
Last synced: 2 days ago
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Papers
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Research Paper
- You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement
- Context-based Message Expansion for Disentanglement of Interleaved Text Conversations
- Multiple Narrative Disentanglement: Unraveling Infinite Jest
- Learning to Disentangle Factors of Variation with Manifold Interaction
- Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
- A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
- Learning Disentangled Representations with Semi-Supervised Deep Generative Models
- Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement
- Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
- Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking
- Disentangled Sequential Autoencoder
- Isolating Sources of Disentanglement in Variational Autoencoders
- Learning Deep Disentangled Embeddings With the F-Statistic Loss
- Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
- Learning Disentangled Joint Continuous and Discrete Representations
- Disentangled Representation Learning for Non-Parallel Text Style Transfer
- Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
- A Large-Scale Corpus for Conversation Disentanglement
- Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection
- A Prism Module for Semantic Disentanglement in Name Entity Recognition
- Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
- Generating Sentences from Disentangled Syntactic and Semantic Spaces
- Learning Conceptual Spaces with Disentangled Facets
- Flexibly Fair Representation Learning by Disentanglement
- Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
- Disentangled Graph Convolutional Networks
- Disentangling Disentanglement in Variational Autoencoders
- Domain Agnostic Learning with Disentangled Representations
- Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
- On the Fairness of Disentangled Representations
- Explicit Disentanglement of Appearance and Perspective in Generative Models
- Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
- Disentangling Influence: Using disentangled representations to audit model predictions
- Learning Disentangled Representations for Recommendation
- Are Disentangled Representations Helpful for Abstract Visual Reasoning?
- Learning Disentangled Representation for Robust Person Re-identification
- On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
- Disentangled behavioural representations
- Graph Neural News Recommendation with Unsupervised Preference Disentanglement
- Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
- Disentangle-based Continual Graph Representation Learning
- Online Conversation Disentanglement with Pointer Networks
- Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
- Building Hierarchically Disentangled Language Models for Text Generation with Named Entities
- Explaining Word Embeddings via Disentangled Representation
- Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation
- Non-autoregressive Machine Translation with Disentangled Context Transformer
- Weakly-Supervised Disentanglement Without Compromises
- Semi-Supervised StyleGAN for Disentanglement Learning
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
- Linear Disentangled Representations and Unsupervised Action Estimation
- Robust Disentanglement of a Few Factors at a Time using rPU-VAE
- Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data
- Learning Disentangled Representations and Group Structure of Dynamical Environments
- Variational Interaction Information Maximization for Cross-domain Disentanglement
- Neural Stylistic Response Generation with Disentangled Latent Variables
- A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
- Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer
- Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
- Knowledge Router: Learning Disentangled Representations for Knowledge Graphs
- Continual Learning for Text Classification with Information Disentanglement Based Regularization
- A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
- Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
- An Evaluation of Disentangled Representation Learning for Texts
- Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification
- Disentangled Code Representation Learning for Multiple Programming Languages
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