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Story Generation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크: 1
평가표: 5
보존된 평가 기록: 5

Story generation is the task of automatically generating a coherent narrative, often from a set of premises or a brief summary.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/WenYanger/General-Transformer-Pytorch

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https://github.com/WenjieDu/PyPOTS

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https://github.com/Wolfie8935/Implementation-of-Attention-is-all-you-need

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https://github.com/XINZXZHANG/Bert_repo

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https://github.com/XUJitao/WordEmbedding

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https://github.com/XapaJIaMnu/transformative

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https://github.com/Xinsen-Zhang/transformer

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https://github.com/XuhanLiu/Transformer

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https://github.com/YYGXjpg/BERT_WL

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https://github.com/Yipeng91/text_classifier_pub

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https://github.com/YuanEric88/bert-nlu

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https://github.com/Zehui127/SQUAD_BERT

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https://github.com/ZmeiGorynych/transformer_pytorch

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https://github.com/ZurichNLP/sockeye

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https://github.com/a414351664/Bert_MRC

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https://github.com/aaronH45/sentimentAnalysis

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https://github.com/abhaskumarsinha/Keras-implementation-of-Transformer-Architecture

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https://github.com/abhaskumarsinha/Keras-implementation-of-Transformer-Architecture/blob/main/Transformer.py

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https://github.com/abhaskumarsinha/MinimalGPT

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https://github.com/abhiagg92/bert_sentiment

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https://github.com/abhilashreddys/Fake-News-Article

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https://github.com/abmitra84/Machine_Translation

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https://github.com/adi2103/AML-CoVe

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https://github.com/af-ai-center/bert

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https://github.com/af-ai-center/nerblackbox

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https://github.com/agentdr1/la_mil

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https://github.com/ahmetumutdurmus/awd-lstm

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https://github.com/ahsanabbas123/Transformer

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https://github.com/akanyaani/minGPTF

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https://github.com/akashe/Python-Code-Generation

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https://github.com/algharak/BERTenhance

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https://github.com/alibaba-damo-academy/FunASR

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https://github.com/alibabasglab/frcrn

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https://github.com/alililia/ms_contrib/tree/main/ascend_transformer

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https://github.com/alililia/ms_contrib/tree/main/gpu_transformer

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https://github.com/alimpiev/embeddings_persistent_homology

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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.