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Data-to-Text Generation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 3
평가표: 26
보존된 평가 기록: 122

A classic problem in natural-language generation (NLG) involves taking structured data, such as a table, as input, and producing text that adequately and fluently describes this data as output. Unlike machine translation, which aims for complete transduction of the sentence to be translated, this form of NLG is usually taken to require addressing (at least) two separate challenges: what to say, the selection of an appropriate subset of the input data to discuss, and how to say it, the surface realization of a generation.

<span style="color:grey; opacity: 0.6">( Image credit: Data-to-Text Generation with Content Selection and Planning )</span>

코드

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

Data-to-Text Generation

코드

https://github.com/OPAYA/Transformer

https://github.com/Osobarako/alduswarrensewell

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/machine_translation/transformer

https://github.com/PaddlePaddle/PaddleSpeech

https://github.com/Pendulibrium/ai-visual-storytelling-seq2seq

https://github.com/Pezhin/best_yelp_review_project_ever

https://github.com/PrideLee/sentiment-analysis

https://github.com/Rami97rgb/French-to-English-Translator

https://github.com/Remiphilius/PoemesProfonds

https://github.com/RenXiangyuan/tf_bert

https://github.com/Rudedaisy/attention-is-all-you-need-pytorch

https://github.com/SCismycat/bert_code_view

https://github.com/SYangDong/bert-with-frozen-code

https://github.com/Satan012/BERT

https://github.com/ScientiaEtVeritas/NeuralMachineTranslation

https://github.com/SeoroMin/transformer_pytorch

https://github.com/SeoroMin/transformer_pytorch_ver2

https://github.com/Shasvat-Desai/Shasvat-Desai

https://github.com/ShiYaya/Awesome_Evaluation_Metrics_for_Text_Generation

https://github.com/Shinya-Kouda/kgc

https://github.com/ShivamRajSharma/Transformer-Architectures-From-Scratch

https://github.com/Shubham-SK/TreeOverAte

https://github.com/Shubham-SK/kronos

https://github.com/ShuvenduBikash/transformer_spelling_corrector

https://github.com/ShwetaBaranwal/Transformer

https://github.com/Skumarr53/Attention-is-All-you-Need-PyTorch

https://github.com/SpikeKing/My-Bert

https://github.com/StevenLai1994/AM_and_LM

https://github.com/StillKeepTry/Transformer-PyTorch

https://github.com/StoneGH/bert

https://github.com/T9-LIN/MSc-Project

https://github.com/THUNLP-MT/THUMT

https://github.com/TSLNIHAOGIT/bert

https://github.com/TSLNIHAOGIT/bert_run

https://github.com/TYTYTYTYTYTYTYTYTY/558-project

https://github.com/The-AI-Summer/self_attention