zhjohnchan / awesome-disentanglement-in-nlp

A curated list of disentanglement in NLP. :-)

Awesome Disentanglement in NLP

A curated list of disentanglement in NLP. :-)

Contributing

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Table of Contents

• Papers
  • Survey
  • Research Paper

Papers

Research Paper

Year	Venue	Title
2008	ACL	You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement
2009	NAACL	Context-based Message Expansion for Disentanglement of Interleaved Text Conversations
2012	NAACL	Multiple Narrative Disentanglement: Unraveling Infinite Jest
2014	ICML	Learning to Disentangle Factors of Variation with Manifold Interaction
2017	NIPS	Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
2017	NIPS	A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
2017	NIPS	Learning Disentangled Representations with Semi-Supervised Deep Generative Models
2018	EMNLP	Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement
2018	EMNLP	Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
2018	NAACL	Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking
2018	ICML	Disentangled Sequential Autoencoder
2018	NIPS	Isolating Sources of Disentanglement in Variational Autoencoders
2018	NIPS	Learning Deep Disentangled Embeddings With the F-Statistic Loss
2018	NIPS	Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
2018	NIPS	Learning Disentangled Joint Continuous and Discrete Representations
2019	ACL	Disentangled Representation Learning for Non-Parallel Text Style Transfer
2019	ACL	Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
2019	ACL	A Large-Scale Corpus for Conversation Disentanglement
2019	ACL	Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection
2019	ACL	A Prism Module for Semantic Disentanglement in Name Entity Recognition
2019	ACL	Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
2019	ACL	Generating Sentences from Disentangled Syntactic and Semantic Spaces
2019	CoNLL	Learning Conceptual Spaces with Disentangled Facets
2019	ICML	Flexibly Fair Representation Learning by Disentanglement
2019	ICML	Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
2019	ICML	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
2019	ICML	Disentangled Graph Convolutional Networks
2019	ICML	Disentangling Disentanglement in Variational Autoencoders
2019	ICML	Domain Agnostic Learning with Disentangled Representations
2019	ICML	Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
2019	NIPS	On the Fairness of Disentangled Representations
2019	NIPS	Explicit Disentanglement of Appearance and Perspective in Generative Models
2019	NIPS	Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
2019	NIPS	Disentangling Influence: Using disentangled representations to audit model predictions
2019	NIPS	Learning Disentangled Representations for Recommendation
2019	NIPS	Are Disentangled Representations Helpful for Abstract Visual Reasoning?
2019	NIPS	Learning Disentangled Representation for Robust Person Re-identification
2019	NIPS	On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
2019	NIPS	Disentangled behavioural representations
2020	ACL	Graph Neural News Recommendation with Unsupervised Preference Disentanglement
2020	ACL	Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
2020	EMNLP	Disentangle-based Continual Graph Representation Learning
2020	EMNLP	Online Conversation Disentanglement with Pointer Networks
2020	EMNLP	Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
2020	COLING	Building Hierarchically Disentangled Language Models for Text Generation with Named Entities
2020	AACL	Explaining Word Embeddings via Disentangled Representation
2020	AACL	Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation
2020	Findings	Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
2020	ICML	Non-autoregressive Machine Translation with Disentangled Context Transformer
2020	ICML	Weakly-Supervised Disentanglement Without Compromises
2020	ICML	Semi-Supervised StyleGAN for Disentanglement Learning
2020	NIPS	ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
2020	NIPS	Linear Disentangled Representations and Unsupervised Action Estimation
2020	NIPS	Robust Disentanglement of a Few Factors at a Time using rPU-VAE
2020	NIPS	Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data
2020	NIPS	Learning Disentangled Representations and Group Structure of Dynamical Environments
2020	NIPS	Variational Interaction Information Maximization for Cross-domain Disentanglement
2021	ACL	Neural Stylistic Response Generation with Disentangled Latent Variables
2021	ACL	A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
2021	ACL	Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer
2021	ACL	Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
2021	NAACL	Knowledge Router: Learning Disentangled Representations for Knowledge Graphs
2021	NAACL	Continual Learning for Text Classification with Information Disentanglement Based Regularization
2021	NAACL	A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
2021	EACL	Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
2021	Findings	An Evaluation of Disentangled Representation Learning for Texts
2021	Findings	Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification
2021	Findings	Disentangled Code Representation Learning for Multiple Programming Languages

Licenses

To the extent possible under law, Zhihong Chen has waived all copyright and related or neighboring rights to this work.