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https://github.com/zhjohnchan/awesome-disentanglement-in-nlp
A curated list of disentanglement in NLP. :-)
https://github.com/zhjohnchan/awesome-disentanglement-in-nlp
List: awesome-disentanglement-in-nlp
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A curated list of disentanglement in NLP. :-)
- Host: GitHub
- URL: https://github.com/zhjohnchan/awesome-disentanglement-in-nlp
- Owner: zhjohnchan
- Created: 2021-10-30T10:47:36.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-10-31T14:26:28.000Z (about 3 years ago)
- Last Synced: 2024-05-21T05:01:41.791Z (6 months ago)
- Homepage:
- Size: 18.6 KB
- Stars: 16
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-interesting-topics-in-nlp - NLP
- ultimate-awesome - awesome-disentanglement-in-nlp - A curated list of disentanglement in NLP. :-). (Other Lists / PowerShell Lists)
README
# Awesome Disentanglement in NLP[](https://awesome.re)
A curated list of disentanglement in NLP. :-)
## Contributing
Please feel free to send me [pull requests](https://github.com/zhjohnchan/awesome-disentanglement-in-nlp/pulls) or email ([email protected]) to add links.
## Table of Contents
- [Papers](#papers)
- [Survey](#survey)
- [Research Paper](#research-paper)
## Papers
### Research Paper
| Year | Venue | Title |
|-------:|:---------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 2008 | ACL | [You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement](https://aclanthology.org/P08-1095.pdf) |
| 2009 | NAACL | [Context-based Message Expansion for Disentanglement of Interleaved Text Conversations](https://aclanthology.org/N09-1023.pdf) |
| 2012 | NAACL | [Multiple Narrative Disentanglement: Unraveling Infinite Jest](https://aclanthology.org/N12-1001.pdf) |
| 2014 | ICML | [Learning to Disentangle Factors of Variation with Manifold Interaction](http://proceedings.mlr.press/v32/reed14.pdf) |
| 2017 | NIPS | [Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data](https://papers.nips.cc/paper/2017/hash/0a0a0c8aaa00ade50f74a3f0ca981ed7-Abstract.html) |
| 2017 | NIPS | [A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning](https://papers.nips.cc/paper/2017/hash/7b7a53e239400a13bd6be6c91c4f6c4e-Abstract.html) |
| 2017 | NIPS | [Learning Disentangled Representations with Semi-Supervised Deep Generative Models](https://papers.nips.cc/paper/2017/hash/9cb9ed4f35cf7c2f295cc2bc6f732a84-Abstract.html) |
| 2018 | EMNLP | [Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement](https://aclanthology.org/D18-1430.pdf) |
| 2018 | EMNLP | [Learning Disentangled Representations of Texts with Application to Biomedical Abstracts](https://aclanthology.org/D18-1497.pdf) |
| 2018 | NAACL | [Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking](https://aclanthology.org/N18-1164.pdf) |
| 2018 | ICML | [Disentangled Sequential Autoencoder](http://proceedings.mlr.press/v80/yingzhen18a/yingzhen18a.pdf) |
| 2018 | NIPS | [Isolating Sources of Disentanglement in Variational Autoencoders](https://papers.nips.cc/paper/2018/hash/1ee3dfcd8a0645a25a35977997223d22-Abstract.html) |
| 2018 | NIPS | [Learning Deep Disentangled Embeddings With the F-Statistic Loss](https://papers.nips.cc/paper/2018/hash/2b24d495052a8ce66358eb576b8912c8-Abstract.html) |
| 2018 | NIPS | [Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies](https://papers.nips.cc/paper/2018/hash/a0afdf1ac166b8652ffe9dee6eac779e-Abstract.html) |
| 2018 | NIPS | [Learning Disentangled Joint Continuous and Discrete Representations](https://papers.nips.cc/paper/2018/hash/b9228e0962a78b84f3d5d92f4faa000b-Abstract.html) |
| 2019 | ACL | [Disentangled Representation Learning for Non-Parallel Text Style Transfer](https://aclanthology.org/P19-1041.pdf) |
| 2019 | ACL | [Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention](https://aclanthology.org/P19-1360.pdf) |
| 2019 | ACL | [A Large-Scale Corpus for Conversation Disentanglement](https://aclanthology.org/P19-1374.pdf) |
| 2019 | ACL | [Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection](https://aclanthology.org/P19-1408.pdf) |
| 2019 | ACL | [A Prism Module for Semantic Disentanglement in Name Entity Recognition](https://aclanthology.org/P19-1532.pdf) |
| 2019 | ACL | [Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation](https://aclanthology.org/P19-1601.pdf) |
| 2019 | ACL | [Generating Sentences from Disentangled Syntactic and Semantic Spaces](https://aclanthology.org/P19-1602.pdf) |
| 2019 | CoNLL | [Learning Conceptual Spaces with Disentangled Facets](https://aclanthology.org/K19-1013.pdf) |
| 2019 | ICML | [Flexibly Fair Representation Learning by Disentanglement](http://proceedings.mlr.press/v97/creager19a/creager19a.pdf) |
| 2019 | ICML | [Learning Discrete and Continuous Factors of Data via Alternating Disentanglement](http://proceedings.mlr.press/v97/jeong19d/jeong19d.pdf) |
| 2019 | ICML | [Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations](http://proceedings.mlr.press/v97/locatello19a/locatello19a.pdf) |
| 2019 | ICML | [Disentangled Graph Convolutional Networks](http://proceedings.mlr.press/v97/ma19a/ma19a.pdf) |
| 2019 | ICML | [Disentangling Disentanglement in Variational Autoencoders](http://proceedings.mlr.press/v97/mathieu19a/mathieu19a.pdf) |
| 2019 | ICML | [Domain Agnostic Learning with Disentangled Representations](http://proceedings.mlr.press/v97/peng19b/peng19b.pdf) |
| 2019 | ICML | [Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness](http://proceedings.mlr.press/v97/suter19a/suter19a.pdf) |
| 2019 | NIPS | [On the Fairness of Disentangled Representations](https://papers.nips.cc/paper/2019/hash/1b486d7a5189ebe8d8c46afc64b0d1b4-Abstract.html) |
| 2019 | NIPS | [Explicit Disentanglement of Appearance and Perspective in Generative Models](https://papers.nips.cc/paper/2019/hash/3493894fa4ea036cfc6433c3e2ee63b0-Abstract.html) |
| 2019 | NIPS | [Symmetry-Based Disentangled Representation Learning requires Interaction with Environments](https://papers.nips.cc/paper/2019/hash/36e729ec173b94133d8fa552e4029f8b-Abstract.html) |
| 2019 | NIPS | [Disentangling Influence: Using disentangled representations to audit model predictions](https://papers.nips.cc/paper/2019/hash/55a988dfb00a914717b3000a3374694c-Abstract.html) |
| 2019 | NIPS | [Learning Disentangled Representations for Recommendation](https://papers.nips.cc/paper/2019/hash/a2186aa7c086b46ad4e8bf81e2a3a19b-Abstract.html) |
| 2019 | NIPS | [Are Disentangled Representations Helpful for Abstract Visual Reasoning?](https://papers.nips.cc/paper/2019/hash/bc3c4a6331a8a9950945a1aa8c95ab8a-Abstract.html) |
| 2019 | NIPS | [Learning Disentangled Representation for Robust Person Re-identification](https://papers.nips.cc/paper/2019/hash/d3aeec875c479e55d1cdeea161842ec6-Abstract.html) |
| 2019 | NIPS | [On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset](https://papers.nips.cc/paper/2019/hash/d97d404b6119214e4a7018391195240a-Abstract.html) |
| 2019 | NIPS | [Disentangled behavioural representations](https://papers.nips.cc/paper/2019/hash/e077e1a544eec4f0307cf5c3c721d944-Abstract.html) |
| 2020 | ACL | [Graph Neural News Recommendation with Unsupervised Preference Disentanglement](https://aclanthology.org/2020.acl-main.392.pdf) |
| 2020 | ACL | [Improving Disentangled Text Representation Learning with Information-Theoretic Guidance](https://aclanthology.org/2020.acl-main.673.pdf) |
| 2020 | EMNLP | [Disentangle-based Continual Graph Representation Learning](https://aclanthology.org/2020.emnlp-main.237.pdf) |
| 2020 | EMNLP | [Online Conversation Disentanglement with Pointer Networks](https://aclanthology.org/2020.emnlp-main.512.pdf) |
| 2020 | EMNLP | [Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation](https://aclanthology.org/2020.findings-emnlp.280.pdf) |
| 2020 | COLING | [Building Hierarchically Disentangled Language Models for Text Generation with Named Entities](https://aclanthology.org/2020.coling-main.3.pdf) |
| 2020 | AACL | [Explaining Word Embeddings via Disentangled Representation](https://aclanthology.org/2020.aacl-main.72.pdf) |
| 2020 | AACL | [Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation](https://aclanthology.org/2020.aacl-srw.1.pdf) |
| 2020 | Findings | [Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation](https://aclanthology.org/2020.findings-emnlp.280.pdf) |
| 2020 | ICML | [Non-autoregressive Machine Translation with Disentangled Context Transformer](http://proceedings.mlr.press/v119/kasai20a/kasai20a.pdf) |
| 2020 | ICML | [Weakly-Supervised Disentanglement Without Compromises](http://proceedings.mlr.press/v119/locatello20a/locatello20a.pdf) |
| 2020 | ICML | [Semi-Supervised StyleGAN for Disentanglement Learning](http://proceedings.mlr.press/v119/nie20a/nie20a.pdf) |
| 2020 | NIPS | [ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping](https://papers.nips.cc/paper/2020/hash/56f9f88906aebf4ad985aaec7fa01313-Abstract.html) |
| 2020 | NIPS | [Linear Disentangled Representations and Unsupervised Action Estimation](https://papers.nips.cc/paper/2020/hash/9a02387b02ce7de2dac4b925892f68fb-Abstract.html) |
| 2020 | NIPS | [Robust Disentanglement of a Few Factors at a Time using rPU-VAE](https://papers.nips.cc/paper/2020/hash/9b22a40256b079f338827b0ff1f4792b-Abstract.html) |
| 2020 | NIPS | [Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data](https://papers.nips.cc/paper/2020/hash/d1e39c9bda5c80ac3d8ea9d658163967-Abstract.html) |
| 2020 | NIPS | [Learning Disentangled Representations and Group Structure of Dynamical Environments](https://papers.nips.cc/paper/2020/hash/e449b9317dad920c0dd5ad0a2a2d5e49-Abstract.html) |
| 2020 | NIPS | [Variational Interaction Information Maximization for Cross-domain Disentanglement](https://papers.nips.cc/paper/2020/hash/fe663a72b27bdc613873fbbb512f6f67-Abstract.html) |
| 2021 | ACL | [Neural Stylistic Response Generation with Disentangled Latent Variables](https://aclanthology.org/2021.acl-long.339.pdf) |
| 2021 | ACL | [A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations](https://aclanthology.org/2021.acl-long.511.pdf) |
| 2021 | ACL | [Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer](https://aclanthology.org/2021.acl-short.7.pdf) |
| 2021 | ACL | [Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets](https://aclanthology.org/2021.repl4nlp-1.14.pdf) |
| 2021 | NAACL | [Knowledge Router: Learning Disentangled Representations for Knowledge Graphs](https://aclanthology.org/2021.naacl-main.1.pdf) |
| 2021 | NAACL | [Continual Learning for Text Classification with Information Disentanglement Based Regularization](https://aclanthology.org/2021.naacl-main.218.pdf) |
| 2021 | NAACL | [A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews](https://aclanthology.org/2021.naacl-main.228.pdf) |
| 2021 | EACL | [Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation](https://aclanthology.org/2021.eacl-main.32.pdf) |
| 2021 | Findings | [An Evaluation of Disentangled Representation Learning for Texts](https://aclanthology.org/2021.findings-acl.170.pdf) |
| 2021 | Findings | [Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification](https://aclanthology.org/2021.findings-acl.341.pdf) |
| 2021 | Findings | [Disentangled Code Representation Learning for Multiple Programming Languages](https://aclanthology.org/2021.findings-acl.391.pdf) |
## Licenses
[](http://creativecommons.org/publicdomain/zero/1.0/)
To the extent possible under law, [Zhihong Chen](https://github.com/zhjohnchan) has waived all copyright and related or neighboring rights to this work.