238 skills found · Page 8 of 8
0xrushi / Rewriting And Paraphrasing GPT J6B 8bit FinetuneParaphrase generation with GPT-J on google colab!!
hwijeen / VAE LSTM(Gupta) A Deep Generative Framework for Paraphrase Generation
vardhin / HumanizerAI text humanization tool with detection capabilities. Transform AI-generated content into natural, human-like writing using advanced NLP models (T5, BART, Pegasus). Features real-time AI detection, multi-model paraphrasing, and a modern Svelte frontend.
mingdachen / MVGVAEData for the paper "Exemplar-Controllable Paraphrasing and Translation using Bitext"
nbalepur / Expository Text GenerationCode for EMNLP 2023 paper "Expository Text Generation: Imitate, Retrieve, Paraphrase"
tuner007 / Paraphrase SentencesParaphrase sentences with Pegasus
afaji / Paracotta ParaphraseSynthetic multilingual paraphrase data
liulixin29 / Visual Paraphrases CaptioningCode for the ICCV 2019 Paper "Generating Diverse and Descriptive Image Captions Using Visual Paraphrases"
thu-spmi / PARGParaphrase Augmented Task-Oriented Dialog Generation, ACL 2020
laihuiyuan / Generic Resources For TstGeneric resources are what you need: Style transfer tasks without task-specific parallel training data (EMNLP 2021)
sidrdesai / Paraphrase GanBuilding a paraphrase generator using generative adversarial networks for cs388
mrsalehi / Paraphrase GenerationParaphrase generation models implemented in Tensorflow, including Transformer, LSTM, Neural Editor, and more.
guxd / C DNPGData and code for the paper "Continuous Decomposition of Granularity for Neural Paraphrase Generation"
nethra8902 / Abstractive Text Summariser With NLPText Summarization recapitulate the content available in articles, research paper, news, paragraph or a piece of information. Automatic Text Summarization is made possible in Natural Language Processing (NLP) by employing two types of summarization techniques viz., 1) Extractive Summarization and 2) Abstractive Summarization. Extractive summarization generates summary by extracting the verbatim from the original passage whereas Abstractive summarization generates summary either by paraphrasing or by using new words instead of extracting the main points. A comprehensive news article and summary dataset has been chosen from Kaggle and the latter method of summarisation is employed in our coursework which calls for an abstractive modelling approach using sequence to sequence Long Short-Term Memory (LSTM) model. BLEU scoring technique has been used for evaluating the accuracy of the model owing to the extensive usage of the same for many of the models involving Natural Language Processing.
nlpdupe / Text Generation Paper ListAn 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.
phlippe / P2 NetOfficial repository of the paper "Diversifying Dialogue Response Generation with Prototype Guided Paraphrasing"
kyeah / NLP Sentence CompressionParaphrasic Sentence Compression using Deep-Link Bilingual Phrase Alignments.
marwah2001 / Arabic Paraphrasing BenchmarkArabic paraphrasing benchmark consists of 1010 Arabic sentence pairs with label of similarity and paraphrasing
tamriq / Paraphraseparaphrase project
lanse-sir / SUPEMNLP2021-Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data
