vsuthichai / paraphraser
Sentence paraphrase generation at the sentence level
☆407Updated last year
Related projects: ⓘ
- Neural Paraphrase Generation☆179Updated 2 years ago
- Method to encode text for GPT-2 to generate text based on provided keywords☆260Updated 3 years ago
- Neural text-to-text question generation☆217Updated 3 years ago
- A paraphrase generator built using the T5 model which produces paraphrased English sentences.☆305Updated this week
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆190Updated last year
- neural question generation for reading comprehension☆345Updated 3 years ago
- Abstractive summarisation using Bert as encoder and Transformer Decoder☆407Updated last year
- Text2Text: Crosslingual NLP/G toolkit☆283Updated this week
- ☆158Updated last year
- Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"☆352Updated last year
- A sentence segmenter that actually works!☆303Updated 4 years ago
- A Large Scale Text Summarization Dataset☆330Updated 8 months ago
- Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"☆624Updated 4 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆173Updated 5 years ago
- Automatic Question Generator from TEXT☆109Updated last year
- Examine two sentences and determine whether they have the same meaning.☆219Updated 5 years ago
- This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, an…☆545Updated 2 years ago
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆157Updated last year
- Builds wordpiece(subword) vocabulary compatible for Google Research's BERT☆226Updated 3 years ago
- Multiple implementations for abstractive text summurization , using google colab☆526Updated 3 years ago
- Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains…☆112Updated 3 years ago
- Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network☆314Updated 4 years ago
- Automatic question generation by using NLP☆208Updated 3 weeks ago
- Convai2 submission.☆294Updated 2 years ago
- ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.☆614Updated 4 years ago
- ☆299Updated 6 years ago
- Topic-Aware Convolutional Neural Networks for Extreme Summarization☆350Updated last year
- ADAM - A Question Answering System. Inspired from IBM Watson☆357Updated 4 years ago
- Text summarization using seq2seq in Keras☆290Updated 2 years ago