domain adaptation in NLP
This repo is a collection of AWESOME things about domain adaptation in NLP, including papers, code, etc. Feel free to star and fork. Please feel free to pull requests or report issues.
- Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach [ACL 2021 Long] [pdf][code]
- Domain-Adaptive Pretraining Methods for Dialogue Understanding [ACL 2021 Short] [pdf]
- Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU [ACL 2021 Long] [pdf]
- Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains [ACL 2021 Findings Long] [pdf][code]
- Preview, Attend and Review Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking [ACL 2021 Short] [pdf]
- Crowdsourcing Learning as Domain Adaptation A Case Study on Named Entity Recognition [ACL 2021 Long] [pdf][code]
- Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking [ACL 2021 Short] [pdf][code]
- Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning [ACL 2021 Short] [pdf][code]
- Unsupervised Out-of-Domain Detection via Pre-trained Transformers [ACL 2021 Long] [pdf][code]
- Adapt-and-Distill Developing Small, Fast and Effective Pretrained Language Models for Domains [ACL 2021 Findings Long] [pdf][code]
- Meta-Learning for Domain Generalization in Semantic Parsing [NAACL 2021] [pdf][code]
- UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus [NAACL 2021] [pdf][code]
- DART: Open-Domain Structured Data Record to Text Generation [NAACL 2021] [pdf][code]
- OodGAN: Generative Adversarial Network for Out-of-Domain Data [NAACL 2021 Industry track] [pdf]
- Leaving No Valuable Knowledge Behind: Weak Supervision with Self-training and Domain-specific Rules [NAACL 2021] [pdf][code]
- QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization [NAACL 2021] [pdf][code]
- UDALM: Unsupervised Domain Adaptation through Language Modeling [NAACL 2021] [pdf][code]
- Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains [EMNLP 2020] [pdf][code]
- Transformer Based Multi-Source Domain Adaptation [EMNLP 2020] [pdf][code]
- Multi-Stage Pre-training for Low-Resource Domain Adaptation [EMNLP 2020] [pdf]
- Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining [EMNLP 2020] [pdf]
- Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses [EMNLP 2020] [pdf][code]
- Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training [EMNLP 2020] [pdf]
- End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems [EMNLP 2020] [pdf]
- Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models [EMNLP 2020] [pdf][code]
- An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training [EMNLP 2020] [pdf][code]
- MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models [EMNLP 2020 main conference] [pdf]
- Neural Unsupervised Domain Adaptation in NLP—A Survey [arXiv 2020 May] [pdf] [code]
- 迁移学习简明手册 Jindong Wang et al. Transfer Learning Tutorial. [pdf]
- Characterizing and Avoiding Negative Transfer [CVPR 2019] [pdf]
- Reinforced Training Data Selection for Domain Adaptation [ACL 2019] [pdf] [code]
- Entropy-based Training Data Selection for Domain Adaptation [COLING 2012] [pdf]
- Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing [arXiv 2020 Aug] [pdf] [code]
- Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks [ACL 2020] [pdf] [code]
- Using Similarity Measures to Select Pretraining Data for NER [NAACL 2019] [pdf] [code]
- Unsupervised Domain Clusters in Pretrained Language Models [ACL 2020] [pdf] [code]
- Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling [EMNLP 2019] [pdf] [code]
- Curriculum Learning for Domain Adaptation in Neural Machine Translation [NAACL 2019] [pdf] [code]
- To Annotate or Not? Predicting Performance Drop under Domain Shift [EMNLP 2019] [pdf] [code]
- Active Adversarial Domain Adaptation [WACV 2020] [pdf]
- BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning [NeurIPS 2019] [pdf] [code]
- Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits [AAAI 2020] [pdf]
- Bayesian Uncertainty Matching for Unsupervised Domain Adaptation [IJCAI 2019] [pdf]
- Unsupervised Domain Adaptation via Calibrating Uncertainties [CVPR Workshop 19] [pdf]
Unsupervised domain adaptation method for relation extraction [code]
Unsupervised domain adaptation with BERT for Amazon food product reviews sentiment analysis. [code]