VincentK1991 / BERT_summarization_1
Tutorial for first time BERT users,
☆103Updated 2 years ago
Alternatives and similar repositories for BERT_summarization_1:
Users that are interested in BERT_summarization_1 are comparing it to the libraries listed below
- Text summarization with python and transformer☆13Updated last year
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆187Updated last year
- Japanese Sentence Summarization with BERT☆49Updated last year
- Abstractive Text Summarization using Transformer☆165Updated last year
- LongSumm - Scientific Document Summarization Task☆74Updated 2 years ago
- MobileBERT and DistilBERT for extractive summarization☆88Updated last year
- On Generating Extended Summaries of Long Documents☆78Updated 4 years ago
- Lecture summarization with BERT☆150Updated 2 years ago
- A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)☆132Updated last year
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Question Generation using Google T5 and Text2Text☆154Updated 4 years ago
- QED: A Framework and Dataset for Explanations in Question Answering☆116Updated 3 years ago
- ☆44Updated last year
- 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
- SUPERT: Unsupervised multi-document summarization evaluation & generation☆94Updated 2 years ago
- Summarization Task using Bart and T5 models.☆169Updated 4 years ago
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆156Updated 2 years ago
- A repo to explore different NLP tasks which can be solved using T5☆171Updated 4 years ago
- This is the official code for Extractive Summarization of Long Documents by Combining Global and Local Context☆69Updated 4 years ago
- ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation☆100Updated last year
- Lexical Simplification with Pretrained Encoders☆70Updated 4 years ago
- ☆37Updated 4 years ago
- Detect toxic spans in toxic texts☆68Updated last year
- ☆23Updated 4 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 4 years ago
- Abstractive and Extractive Text summarization using Transformers.☆82Updated last year
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆69Updated 4 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 5 years ago
- architectures and pre-trained models for long document classification.☆154Updated 4 years ago
- 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