SKRohit / Generating_Text_Summary_With_GPT2
A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.
☆156Updated 2 years ago
Alternatives and similar repositories for Generating_Text_Summary_With_GPT2:
Users that are interested in Generating_Text_Summary_With_GPT2 are comparing it to the libraries listed below
- Tutorial for first time BERT users,☆103Updated 2 years ago
- Japanese Sentence Summarization with BERT☆49Updated last year
- Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive…☆429Updated last year
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆187Updated last year
- Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.☆191Updated last year
- Fine-tuning GPT-2 Small for Question Answering☆129Updated 2 years ago
- MobileBERT and DistilBERT for extractive summarization☆88Updated last year
- Abstractive Text Summarization using Transformer☆165Updated last year
- EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"☆339Updated 4 months ago
- Abstractive and Extractive Text summarization using Transformers.☆82Updated last year
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- The PyTorch implementation of fine-tuning the GPT-2(Generative Pre-trained Transformer 2) for dialogue generation.☆174Updated 9 months ago
- Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models …☆231Updated last year
- Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"☆365Updated last year
- Question Generation using Google T5 and Text2Text☆154Updated 4 years ago
- A repo to explore different NLP tasks which can be solved using T5☆171Updated 4 years ago
- Summarization Task using Bart and T5 models.☆169Updated 4 years ago
- Large-scale multi-document summarization dataset and code☆282Updated last year
- Code for ACL 2020 paper: "Extractive Summarization as Text Matching"☆519Updated 3 years ago
- A BERT-Transformer network for abstractive text summarization☆124Updated 2 years ago
- Lecture summarization with BERT☆150Updated 2 years ago
- DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue☆282Updated last year
- BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be ab…☆113Updated 3 years ago
- Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network☆320Updated 5 years ago
- Method to encode text for GPT-2 to generate text based on provided keywords☆260Updated 4 years ago
- Important paper implementations for Question Answering using PyTorch☆273Updated 4 years ago
- ☆37Updated 4 years ago
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆80Updated 2 years ago
- This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, an…☆557Updated 3 years ago
- This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences fro…☆160Updated 5 months ago