Paraphrase generation github. This is computed with the multi-lingual USE model.
8版本的复现代码(比较完善,quora 数据集上 BLEU 26. This project providers users the ability to do paraphrase generation for sentences through a clean and simple API. pip install git+https://github. Unsupervised Paraphrase Generation using Pre-trained Language Model We use Huggingface transformers 3. py to the number of additional training iterations, leave all other parameters intact, and rerun. @inproceedings{dong2021parasci, title={ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation}, author={Dong, Qingxiu and Wan, Xiaojun and Cao, Yue}, booktitle={Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume}, pages={424--434}, year={2021} } Dec 7, 2023 · A Paraphrase-Generator built using transformers which takes an English sentence as an input and produces a set of paraphrased sentences. Installation. This notebook is a simple example for fine-tuning GPT-J-6B with limited memory. Models Used. pdf Contribute to edithram23/Paraphrase-Generation development by creating an account on GitHub. The model is trained on the 'HHousen/ParaSCI' dataset, which contains pairs of sentences, each pair consisting of an original sentence and its paraphrase Paraphrase Adversaries From Word Scrambling (PAWS): This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase generation. To train the classifiers follow the steps: Install the local fork of fairseq, as discussed above in "Setup". - krikyn/Strong-Paraphrase-Generation-2020 Nov 12, 2021 · More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. This paper is accepted by Findings of ACL'21. Overview: Architecture of SGCP (proposed method). These models suffer through limitation of token input limit and low context span. Short Summary We aim to tackle the aspect sentiment quad prediction (ASQP) task: given a sentence, we predict all sentiment quads (aspect category, aspect term, opinion term, sentiment polarity) Keras implementation for A Deep Generative Framework for Paraphrase Generation. A Paraphrase-Generator built using transformers which takes an English sentence as an input and produces a set of paraphrased sentences. and links to the paraphrase-generation topic page so that Fine-tuning 6-Billion GPT-J in colab with LoRA and 8-bit compression. This is computed with the multi-lingual USE model. This repository contains the code, data, and associated models of the paper titled "BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset", accepted in Proceedings of the Asia-Pacific Chapter of the Association for Computational Linguistics: AACL 2022. NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text Code for paper Document-Level Paraphrase Generation with Sentence Rewriting and Reordering by Zhe Lin, Yitao Cai and Xiaojun Wan. The framework leverages a set of topic-related factual sentences and a user-specified prefix in order to generate an expository document. "translate" from French to French) results in trivial copies most of the time. !!! note "Note" The predictions are going to be quite terrible, as the demo dataset is small. Training It is important that you use the version of fairseq included in this repo, as it contains minor changes to the optimizers that allow to pass the retain_graph flag to the backward function, which is necessary for the proper propagation of If you just trained for some iterations and would like to pick up from that point, simply change the ADV_TRAIN_ITERS param in src/utils/hyper_params. Use-cases of Hugging Face's BERT (e. Work in progress. ” and “303 people died because of the tsunami in Haiti” are sufficiently close to be considered as paraphrases; whereas for paraphrase generation, the extra information “303 people dead” in the latter sentence may lead models to learn to hallucinate and Contribute to varun9208/paraphrase-generation development by creating an account on GitHub. Our product will improve your fluency while also ensuring you have the appropriate vocabulary, tone, and style for any occasion. Saved searches Use saved searches to filter your results more quickly Transformer-Based Conditioned Variational Autoencoder (T-CVAE) for Paraphrase Generation. com/PrithivirajDamodaran/Parrot_Paraphraser. Paraphrase generation has been widely used in various downstream tasks. The model used here is the T5ForConditionalGeneration from the huggingface transformers library. - TZONELXY/NLP A Paraphrase-Generator built using transformers which takes an English sentence as an input and produces a set of paraphrased sentences. T-CVAE was originally proposed for story completion task in IJCAI'19 paper: T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion by Wang, Tianming and Wan, Xiaojun. To associate your repository with the paraphrase For example, for the purpose of tracking unfolding events, “A tsunami hit Haiti. This paper is accepted by Findings of EMNLP'21. Appl. 2019(AAAI) Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. This is the implementation of A Deep Generative Framework for Paraphrase Generation and An End-to-End Generative Architecture for Paraphrase Generation. AI Paraphrasing Tool. 6. This repository is based on the work from @ramsrigouthamg which explain very well how to fine tune the model. natural-language-processing deep-learning paper acl natural-language-generation paraphrase paraphrase-generation acl2021 More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Dec 7, 2023 · A Paraphrase-Generator built using transformers which takes an English sentence as an input and produces a set of paraphrased sentences. Specifically, BQ-Para is the first Chinese paraphrase evaluation benchmark built by us, and Twitter-Para is adopted from Code or Paper. Tools and resources for training causal language model for paraphrase generation - spyysalo/paraphrase-generation A paraphrase generator built using the T5 model which produces paraphrased English sentences. Most tasks benefit mainly from high quality paraphrases, namely those that are semantically similar to, yet linguistically diverse from, the original sentence. We propose a generative model of paraphrase generation, that encourages syntactic diversity by conditioning on an explicit syntactic sketch. dataset paraphrase paraphrasing paraphrase-generation Pegasus Paraphraser is a text paraphrasing system built using the tuner007/pegasus_paraphrase model to generate simplified versions of input text by splitting it into sentences and leveraging an encoder-decoder architecture. Contribute to yuchenlin/ParaGEN development by creating an account on GitHub. An actively maintained paper list of text generation including various topics: Controlled text generation, key phrase generation, data-to-text generation, dialogue, story telling, commonsense text generation, simplification, paraphrase generation, long text generation, argumentation, evaluation, generic techniques, and etc. (Gupta) A Deep Generative Framework for Paraphrase Generation - hwijeen/VAE-LSTM Host and manage packages Security. The goal is to produce a target sentence that matches the style of the provided exemplar while preserving the source sentence's content information. This code-based is built upon this paper Learning Semantic Sentence Embeddings using Pair-wise Discriminator . Saved searches Use saved searches to filter your results more quickly The thesis and repo associated with the article Paraphrase Generation Using Deep Reinforcement Learning. jsonl. py and src/eval_generation_chatgpt. git. - wyu-du/Reinforce-Paraphrase-Generation More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. ipynb contains code for evaluating the performance of our fine tuned bert model for the paraphrase classifier task. This repository contains the implementation of our paraphrasing model, as described in our paper. natural-language-processing deep-learning paper acl natural-language-generation paraphrase paraphrase-generation acl2021 GitHub is where people build software. Contribute to sak-18/T5-paraphraser development by creating an account on GitHub. Contribute to LianaMikael/Paraphrase-Generation development by creating an account on GitHub. Usage. Your words matter, and our paraphrasing tool is designed to ensure you use the right ones. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. csv # To evaluate the performance of the fine-tuned model, run: python scripts/evaluate. ipynb contains code for finte tuning the pre trained Bert Model for the paraphrase classifier task. Paraphrase Generation involves transforming a natural language sentence to a new sentence, that has the same semantic meaning but a different syntactic or lexical surface form. Reload to refresh your session. and links to the paraphrase-generation topic page so that Parrot is a paraphrase based utterance augmentation framework purpose built to accelerate training NLU models. More than 83 million people use GitHub to discover, fork, and contribute to over 200 million projects. Paraphrases are two sentence which have the same proposition (meaning). sh" in src folder is a demonstration of experimental setup in this paper. Contribute to edithram23/Paraphrase-Generation development by creating an account on GitHub. This is an NLP task of conditional text-generation. Saved searches Use saved searches to filter your results more quickly Rule-Based Paraphrase Generation in Hindi Aim. main Evaluating the fine-tuned model on paraphrase type generation and detection can be achieved by running src/eval_type_detection_chatgpt. - Deep1994/t5-paraphrase-generation Now you have a model which you can use to predict on new data. newacronym/Custom-Paraphrase-Generator This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 8 and only support GPU version Please check environment. Although it is almost impossible for two different sentence to mean exactly the same, the aim is to generate sentences which have close meaning to the original sentence - GitHub - massyakur/Prompt-Engineering-for-Paraphrase-Generation: An exploration of prompt engineering techniques to enhance the paraphrase generation capabilities of AI chatbots. py --data_path data/quora_question_pairs. jsonl or detection_test. paraphrase Paraphrase Generation involves transforming a natural language sentence to a new sentence, that has the same semantic meaning but a different syntactic or lexical surface form. A pool of different state-of-the-art NLP models used for prompt engineering and paraphrase generation. - GitHub - nlpdupe/Text-Generation-Paper-List: An actively maintained Jun 8, 2022 · The heatmaps are still crucial for choosing the right quality control values and quality controlled generation is still a better way to learn the distribution of the data allowing for high quality generation 🤩. The scores section of the yaml shows the semantic similarity of each paraphrase with the original sentence. Paraphrase generation using T5 model Simple application using T5 base model fine tuned in Quora Question Pairs to generate paraphased questions. Software implementation of research of the generation of strong paraphrases and new metrics for the validation of strong paraphrases. We do this by running beam search. py" Any files with ". This repository contains the code, data, and results of our study presented at 8 th International Conference on Computer Science and Engineering UBMK 2023. Contribute to zachalexan/neural-paraphrase-generation development by creating an account on GitHub. # reads the data file containing both the source and the target sentences, builds the vocabulary and saves into a json file Aug 17, 2024 · %0 Conference Proceedings %T Quality Controlled Paraphrase Generation %A Bandel, Elron %A Aharonov, Ranit %A Shmueli-Scheuer, Michal %A Shnayderman, Ilya %A Slonim, Noam %A Ein-Dor, Liat %Y Muresan, Smaranda %Y Nakov, Preslav %Y Villavicencio, Aline %S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) %D 2022 %8 May %I @inproceedings{pang2003syntax, title={Syntax-based alignment of multiple translations: Extracting paraphrases and generating new sentences}, author={Pang, Bo and Knight, Kevin and Marcu, Daniel}, booktitle={Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1}, pages={102--109}, year={2003 A Paraphrase-Generator built using transformers which takes an English sentence as an input and produces a set of paraphrased sentences. (TOMM) 2023 paper "Visual Paraphrase Generation with Key Information Retained" - Gary-code/Ob-VPG 2 days ago · %0 Conference Proceedings %T Paraphrase Generation: A Survey of the State of the Art %A Zhou, Jianing %A Bhat, Suma %Y Moens, Marie-Francine %Y Huang, Xuanjing %Y Specia, Lucia %Y Yih, Scott Wen-tau %S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing %D 2021 %8 November %I Association for Computational Linguistics %C Online and Punta Cana, Dominican Contribute to merionum/neural-paraphrase-generation development by creating an account on GitHub. GitHub is where people build software. csv Paraphrase Generation This is a PyTorch implementation of the simple sequence-to-sequence paraphrase generator using Transformer (Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. 0. Find and fix vulnerabilities More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. For more details on the library and usage please refer to the github page. PyTorch code for Paraphrase Question Generator. To the best of our knowledge, this work is the first to explore deep learning models for paraphrase generation. 0, and python 3. Reformulating Unsupervised Style Transfer as Paraphrase Generation (EMNLP 2020) This is the official repository accompanying the EMNLP 2020 long paper Reformulating Unsupervised Style Transfer as Paraphrase Generation. The Bert Fine Tuning. Classifiers are needed to evaluate style transfer performance. I found this code which is based on this code. This repo contains the annotated data and code for our paper Aspect Sentiment Quad Prediction as Paraphrase Generation in EMNLP 2021. ” and “303 people died because of the tsunami in Haiti” are sufficiently close to be considered as paraphrases; whereas for paraphrase generation, the extra information “303 people dead” in the latter sentence may lead models to learn to hallucinate and Code for ACM Trans. py'. Neural Paraphrase Generation based on OpenNMT-py. Pointer-Generator 其代码开源在 Github/abisee ,原版本是python2环境, Github/becxer 是其python3版fork,这个仓库的代码取自python3版本。 GitHub is where people build software. T5-base Transformer finetuned for Paraphrase generation Pytorch Implementation of "Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation" - GitHub - LHRYANG/CRL_EGPG: Pytorch Implementation of "Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation" Jul 23, 2020 · My goal is to fine-tuned t5-large for paraphrase generation. A paraphrase framework is more than just a paraphrasing model. We introduce Hierarchical Refinement Quantized Variational Autoencoders (HRQ-VAE), a method for learning decompositions of dense encodings as a sequence of discrete latent variables that make iterative graviraja/deep-paraphrase-generation This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. and links to the paraphrase-generation topic page so that You signed in with another tab or window. Contribute to nggsam/ParaGEN development by creating an account on GitHub. CSV Format - Each paraphrase will be added in a separate line as = <original-sentence>, <optional-label>, <paraphrase>, <similarity-score>. References. Created by Prithiviraj Damodaran. If you want the code used for experiments please head over to the orig-code branch. g. Resource Used: MSRP paraphrase corpus. py -h usage: Train paraphrase generator model [-h] -c CORPUS --dev DEV --test TEST -t TOKENIZER --encoder ENCODER [-b BATCH_SIZE] [-e EMBEDDING] [--epochs EPOCHS] [-sp STEPS] [--random] optional arguments: -h, --help show this help message and exit -c CORPUS, --corpus CORPUS Corpus file for the training --dev DEV Corpus file for the validation --test TEST Corpus file for the test This is the Python client for the NLP Cloud API. LDP achieves superior generation efficiency compared to its diffusion counterparts. You switched accounts on another tab or window. The input sentence is encoded using the Sentence Encoder to obtain a semantic Paraphrase generation models implemented in Tensorflow, including Transformer, LSTM, Neural Editor, and more. Requirements: Keras; Numpy; In this project I try to implement novel VAE-LSTM architecture mentioned in A Deep Generative Framework for Paraphrase Generation. Code for AI Open 2023 journal: Language as a latent sequence: deep latent variable models for semi-supervised paraphrase generation The main code is in "src/trainer. Code for paper Document-Level Paraphrase Generation with Rule-based sentence-level paraphrase generation in Hindi - Paraphrase_generation/runner. paraphrasing. ; The Bert Evaluation Paraphrase Identification. Multim. This Paraphrase Generator is designed to assist you in generating paraphrased versions of your sentences using state-of-the-art language models. master Parrot is a paraphrase based utterance augmentation framework purpose built to accelerate training NLU models. yml for detail. A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. - Mahyar-Ali/Paraphrasing-and-Prompt-Generation Huggingface lists 16 paraphrase generation models, (as of this writing) RapidAPI lists 7 fremium and commercial paraphrasers like QuillBot, Rasa has discussed an experimental paraphraser for augmenting text data here, Sentence-transfomers offers a paraphrase mining utility and NLPAug offers word level augmentation with a PPDB (a multi-million paraphrase database). A detailed explanation of how it works can be found in this model card. Here is the code base for AESOP: Paraphrase Generation with Adaptive Syntactic Control by Jiao Sun, Xuezhe Ma and Nanyun Peng, this work is accepted by EMNLP 2021. x) 仓库整理了Paraphrase Generation的三个baseline模型: pointer-generator network, reinforcement learning, DiPS. "Paraphrase Generation with BART: This project aims to build a paraphrase generation model using the BART (Bidirectional and Auto-Regressive Transformers) model from the Hugging Face library. Done as a part of the Monsoon'22 course 'Advanced NLP' (ANLP). txt file and feeds in subsequent sentences for paraphrase generation. If you want to change the dataset length, then make some minor changes in the 'split. This code contains the Imitate, Retrieve, Paraphrase (IRP) framework for expository document generation. See the documentation for more details. and links to the paraphrase-generation topic page so that Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019) - mingdachen/syntactic-template-generation For example, for the purpose of tracking unfolding events, “A tsunami hit Haiti. Code for paper Document-Level Paraphrase Generation with GitHub is where people build software. py --model_path models/ --data_path data/quora_question_pairs. Paraphrase Generation Using Deep Reinforcement Learning Attempting to generate paraphrases from the Prism model via naive beam search (e. Please consider citing our work if you find either our code or data useful. - GitHub - tagoyal/sow-reap-paraphrasing: Contains data/code for the paper "Neural Syntactic Preordering for Controlled Paraphrase Generation" (ACL 2020). The PREDICT mode reads a . Comput. Trained on the Quora Paraphrase dataset. Gomez, Lukasz Kaiser, Illia Polosukhin, arxiv, 2017). To overcome this, the input context was split into sentences and each sentence was passed separately for paraphrasing. ipynb notebook. An exploration of prompt engineering techniques to enhance the paraphrase generation capabilities of AI chatbots. (非官方的)Code for AAAI2020 paper, Integrating Linguistic Knowledge to Sentence Paraphrase Generation. The code is not intended to run end-to-end for new applications and is instead meant to be used as starter code or for taking code snippets. Features Paraphrase Generation : Generate alternative versions of input sentences while preserving their original meaning. candidate over-generation, leveraging techniques that can be combined to generate a large number of diverse but (potentially) noisy candidate paraphrases candidate selection , with techniques that can be incorporated to discard semantically irrelevant paraphrases and duplicates, thus filtering out low quality paraphrases. py --mode=predict --model_dir=[PATH TO MODEL DIR] --data_path=[PATH TO TXT FILE] This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019). To generate paraphrases in this bulk mode, run - More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. - GitHub - irosadie/paraphrase-generator: A paraphrase generator built using the T5 model which produce. Paraphrases generator based on RVAE. My questions( I also asked some of them on the github code mentioned above but I feel these question may be better address here): I saw for 2 epoches and the paraphrases generated Conventional paraphrase generation methods either leverage hand-written rules and thesauri-based alignments, or use statistical machine learning principles. With unlimited Custom modes and 9 predefined modes, Paraphraser lets you rephrase text countless ways. Repository for the paper Exploring Metaphoric Paraphrase Generation, accepted to CoNLL 2021. Once you have a trained model, you can perform inference as shown in Inference. Abstract: Metaphor generation is a difficult task, and has seen tremendous improvement with the advent of deep pretrained models. To run the trained model in prediction mode, run the following command python engine/train_rvae. Pull requests. - GitHub - jm0216/Parrot: A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Source repository for my undergraduate Thesis "Using Paraphrase Generation to Capture Style" - Karsenity/Paraphrase_Generation This repository demonstrates how to leverage Google's Pegasus model for text paraphrasing using the Hugging Face Transformers library in Python. Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. Paraphrase Generation Open sourced implementation of this paper : Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences Demo is available here . In our paper, two benchmarks are selected: BQ-Para and Twitter-Para. txt. - mrsalehi/paraphrase-generation Oct 28, 2022 · Quality Controlled Paraphrase Generation (ACL 2022) - Issues · IBM/quality-controlled-paraphrase-generation Code for paper Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach by Zhe Lin, Xiaojun Wan. You signed in with another tab or window. Commun. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. . A demo can be seen here: pair-a-phrase The paraphraser was developed under the Insight Data Science Artificial Intelligence program. This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019). Contribute to reichenbch/Paraphrase-Generator development by creating an account on GitHub. 2, pytorch 1. Anyways, thank you for showing interest in our work! We will upload the quality predictor checkpoints this week T5 Model for generating paraphrases of english sentences. Fasttext's pretrained vector. SGCP aims to paraphrase an input sentence, while conforming to the syntax of an exemplar sentence (provided along with the input). A text generation library to paraphrase image captions This project provides users the ability to do paraphrase generation for sentences through a clean and simple API. 分支 main 下面是 torch>=1. Fine tuning T5 for paraphrase generation. So I just modified to further fine tune on my dataset. Paraphrase Generation Using Deep Reinforcement Learning Source code for TACL 2020 paper: Syntax-Guided Controlled Generation of Paraphrases. This will output predictions into pred. py at master · Pranav174/Paraphrase_generation This repository aims to do Exemplar-Guided Paraphrase Generation (EGPG). Note The above command generates json files for 100K question pairs for train, 20k question pairs for validation and 20K question pairs for Test set. Graham Neubig, Neural Machine Translation and Sequence-to-sequence Models: A Tutorial. Code for paper Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach by Zhe Lin, Xiaojun Wan. Pegasus stands for Pre-training with Extracted Gap-sentences for Abstractive Summarization Sequence-to-sequence models, and it excels at paraphrasing text effectively. Contains data/code for the paper "Neural Syntactic Preordering for Controlled Paraphrase Generation" (ACL 2020). Implementation of NMT for paraphrase generation . and links to the paraphrase-generation topic page so that # To fine-tune the Pegasus model for paraphrase generation, run the following command: python scripts/train. py and providing the <model_id> of the finetuned model and the <data_file> which can be generation_test. You signed out in another tab or window. For the paraphrasing task, t5 based model was utilised. However, we provide a simple algorithm to discourage copying and enable paraphrase generation in many languages -- see the paraphrase generation README. Apr 13, 2024 · In this work, we propose \textit {L}atent \textit {D}iffusion \textit {P}araphraser~ (LDP), a novel paraphrase generation by modeling a controllable diffusion process given a learned latent space. In a standard paraphrase evaluation paradigm, there're source sentences, references, and candidates. Aug 28, 2020 · Unsupervised Paraphrase Generation using Pre-trained Language Model We use Huggingface transformers 3. xwotok lmgkbiu biegsx szk pbwf oxvdkn tiycbmi bijzv upe byr