Papers with Code 아카이브
Paraphrase Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 3
- 보존된 평가 기록
- 5
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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations
Fine-Grained Emotional Paraphrasing along Emotion Gradients
Revision for Concision: A Constrained Paraphrase Generation Task
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
Improving Large-scale Paraphrase Acquisition and Generation
Continuous Decomposition of Granularity for Neural Paraphrase Generation
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
Understanding Metrics for Paraphrasing
Principled Paraphrase Generation with Parallel Corpora
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Chinese Idiom Paraphrasing
Quick Starting Dialog Systems with Paraphrase Generation
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
Quality Controlled Paraphrase Generation
Entailment Relation Aware Paraphrase Generation
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages
Hierarchical Sketch Induction for Paraphrase Generation
On the Evaluation Metrics for Paraphrase Generation
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
Visual Information Guided Zero-Shot Paraphrase Generation
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs
Improving Non-autoregressive Generation with Mixup Training
Aspect Sentiment Quad Prediction as Paraphrase Generation
Simulated annealing for optimization of graphs and sequences
Language Invariant Properties in Natural Language Processing
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.