KristiyanVachev / Leaf-Question-GenerationLinks
Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
☆139Updated 3 years ago
Alternatives and similar repositories for Leaf-Question-Generation
Users that are interested in Leaf-Question-Generation are comparing it to the libraries listed below
Sorting:
- An NLP system for generating reading comprehension questions☆297Updated last year
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆186Updated 2 years ago
- Abstractive and Extractive Text summarization using Transformers.☆86Updated 2 years ago
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 3 years ago
- A paraphrase generator built using the T5 model which produces paraphrased English sentences.☆319Updated last month
- A repo to explore different NLP tasks which can be solved using T5☆173Updated 4 years ago
- [EMNLP-Findings 2020] Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences☆63Updated last year
- Code and models used in "MUSS Multilingual Unsupervised Sentence Simplification by Mining Paraphrases".☆99Updated 2 years ago
- The official code for PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization☆156Updated 3 years ago
- Text2Text Language Modeling Toolkit☆305Updated 11 months ago
- Tutorial for first time BERT users,☆103Updated 3 years ago
- Code accompanying the submission "Structural Text Segmentation of Legal Documents" by Aumiller et al.☆98Updated 2 years ago
- NewsQuizQA is a quiz-style question-answer dataset used for generating quiz questions about the news☆35Updated 4 years ago
- Resources for the "CTRLsum: Towards Generic Controllable Text Summarization" paper☆148Updated 7 months ago
- Question Generation using Google T5 and Text2Text☆153Updated 5 years ago
- Generating multiple choice questions from text using Machine Learning.☆492Updated last year
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆156Updated 2 years ago
- simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.☆400Updated 2 years ago
- This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences fro…☆162Updated last year
- This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 4…☆276Updated last year
- An open-source text summarization toolkit for non-experts. EMNLP'2021 Demo☆280Updated 2 years ago
- ☆76Updated 3 years ago
- Fine-tuning GPT-2 Small for Question Answering☆130Updated 3 years ago
- BERTserini☆26Updated 3 years ago
- Multilingual abstractive summarization dataset extracted from WikiHow.☆97Updated 9 months ago
- DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021☆184Updated last year
- Benchmarking various Deep Learning models such as BERT, ALBERT, BiLSTMs on the task of sentence entailment using two datasets - MultiNLI …☆28Updated 5 years ago
- A python package to augment text data using NLP.☆39Updated 10 months ago
- MobileBERT and DistilBERT for extractive summarization☆93Updated 2 years ago
- [EMNLP 2021] LM-Critic: Language Models for Unsupervised Grammatical Error Correction☆120Updated 4 years ago