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Paraphrase Generation
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
공식 코드https://github.com/FranxYao/Gumbel-CRF
공식 코드https://github.com/FranxYao/dgm_latent_bow
공식 코드https://github.com/ads-ai/paraqd
공식 코드https://github.com/aitorormazabal/paraphrasing-from-parallel
공식 코드https://github.com/allenai/tess-diffusion
공식 코드https://github.com/baoy-nlp/DSS-VAE
공식 코드Generating Sentences from Disentangled Syntactic and Semantic Spaces
https://github.com/chaojiang06/neural-Jacana
공식 코드https://github.com/cluebbers/dpo-rlhf-paraphrase-types
공식 코드Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
https://github.com/ddddwy/Reinforce-Paraphrase-Generation
공식 코드An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
https://github.com/dev-chauhan/PQG-pytorch
공식 코드Revisiting Paraphrase Question Generator using Pairwise Discriminator
https://github.com/dialogue-evaluation/ruatd
공식 코드Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
https://github.com/dqxiu/ParaSCI
공식 코드ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation
https://github.com/goru001/inltk
공식 코드https://github.com/guxd/c-dnpg
공식 코드Continuous Decomposition of Granularity for Neural Paraphrase Generation
https://github.com/hongyuanluke/pcc
공식 코드PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
https://github.com/ibm/quality-controlled-paraphrase-generation
공식 코드https://github.com/isakzhang/absa-quad
공식 코드https://github.com/jialin-yu/latent-sequence-paraphrase
공식 코드Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation
https://github.com/jpqiang/chinese-idiom-paraphrasing
공식 코드https://github.com/jpwahle/emnlp22-transforming
공식 코드How Large Language Models are Transforming Machine-Paraphrased Plagiarism
https://github.com/jpwahle/emnlp23-paraphrase-types
공식 코드https://github.com/kinit-sk/Crowd-vs-ChatGPT-Crowdsourcing-of-paraphrases-for-intent-classification
공식 코드https://github.com/kinit-sk/crowd-vs-gpt-intent-class
공식 코드https://github.com/kongds/mist
공식 코드https://github.com/kpkqwq/lspg
공식 코드Multilingual Lexical Simplification via Paraphrase Generation
https://github.com/krafton-ai/LaPael
공식 코드Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
https://github.com/l-zhe/btmpg
공식 코드Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach
https://github.com/l-zhe/corpg
공식 코드Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
https://github.com/l-zhe/vipg
공식 코드https://github.com/lancopku/WEAN
공식 코드https://github.com/lhryang/crl_egpg
공식 코드Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
https://github.com/malllabiisc/SGCP
공식 코드https://github.com/martiansideofthemoon/ai-detection-paraphrases
공식 코드Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
https://github.com/martiansideofthemoon/style-transfer-paraphrase
공식 코드Reformulating Unsupervised Style Transfer as Paraphrase Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.