dinghanshen / Cutoff
The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".
☆62Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Cutoff
- ☆35Updated 3 years ago
- [ICLR 2021] Contrastive Learning with Adversarial Perturbations for Conditional Text Generation☆85Updated 2 years ago
- ☆44Updated 3 years ago
- ☆116Updated 2 years ago
- Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 20…☆106Updated 2 years ago
- Code for ACL 2021 main conference paper "Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances".☆93Updated 3 years ago
- [EACL'21] Non-Autoregressive with Pretrained Language Model☆62Updated 2 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆68Updated last year
- Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"☆44Updated 2 years ago
- ☆13Updated 3 years ago
- Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)☆29Updated 2 years ago
- Instruction to data diversification☆24Updated 3 years ago
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 2 years ago
- [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning☆92Updated 2 years ago
- ☆78Updated 2 years ago
- ☆66Updated 3 years ago
- Code and data accompanying our ACL 2020 paper, "Unsupervised Domain Clusters in Pretrained Language Models".☆59Updated 4 years ago
- [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering☆45Updated 2 years ago
- Implementation of our paper "Self-training Sampling with Monolingual Data Uncertainty for Neural Machine Translation" to appear in ACL-20…☆31Updated 3 years ago
- ☆50Updated 3 years ago
- [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining☆118Updated last year
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆41Updated 2 years ago
- Code for paper Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval, Accepted by ACL2022 Main Conference, Long Paper☆30Updated 2 years ago
- Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"☆58Updated 2 years ago
- The sources codes of the DR-BERT model and baselines☆37Updated 3 years ago
- Code for ACL 2021 paper: Accelerating BERT Inference for Sequence Labeling via Early-Exit☆28Updated 2 years ago
- Codes for our ACL21 paper: Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization☆94Updated 3 years ago
- ACL-21 Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis☆28Updated 10 months ago
- Official Repository for CLRCMD (Appear in ACL2022)☆38Updated last year
- Code base for "G-Transformer for Document-level Machine Translation"☆43Updated last year