jsrozner / t5_finetune
A simple example for finetuning HuggingFace T5 model. Includes code for intermediate generation.
☆26Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for t5_finetune
- ☆116Updated 2 years ago
- ☆44Updated 3 years ago
- ☆78Updated 2 years ago
- ☆66Updated 3 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆68Updated last year
- The source code of paper "PAIR-LEVEL SUPERVISED CONTRASTIVE LEARNING FOR NATURAL LANGUAGE INFERENCE" at ICASSP 2022.☆46Updated last year
- [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning☆92Updated 2 years ago
- Codes for our ACL21 paper: Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization☆94Updated 3 years ago
- source code for paper: WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.☆56Updated 3 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…☆107Updated 2 years ago
- SpanNER: Named EntityRe-/Recognition as Span Prediction☆124Updated 2 years ago
- Structured Prediction as Translation between Augmented Natural Languages☆131Updated 2 years ago
- SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples☆73Updated 2 years ago
- Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"☆148Updated last year
- [EMNLP'21] Plan-then-Generate: Controlled Data-to-Text Generation via Planning☆70Updated 2 years ago
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 2 years ago
- This is the repository for SemEval 2021 Task 4: Reading Comprehension of Abstract Meaning. It includes code for baseline models and data.☆30Updated 3 years ago
- [EMNLP 2021] Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification☆125Updated last year
- Code for "MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER"☆44Updated 2 years ago
- TAP (Translucent Answer Prediction), is a system to identify answers and evidence (in the form of supporting facts) in an RCQA task that …☆28Updated 4 years ago
- ☆42Updated 4 years ago
- ☆28Updated last year
- An easy-to-use tool for phrase encoding and topic mining (unsupervised aspect extraction); Code base for ACL 2022 paper, UCTopic: Unsuper…☆43Updated last year
- ☆90Updated 7 months ago
- ExpMRC: Explainability Evaluation for Machine Reading Comprehension☆60Updated last year
- Code for "Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!", EMNLP 2020☆21Updated 3 years ago
- Pytorch implementation of CoCon: A Self-Supervised Approach for Controlled Text Generation☆94Updated 3 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆49Updated 3 years ago
- ☆26Updated 2 years ago
- Source for the ACL 2021 Findings paper "Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models"☆50Updated last year
- [EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training☆63Updated 2 years ago