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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/TheTensorDude/transformer-tf

https://github.com/TieDanCuihua/transformer-Attention-is-All-You-Need

https://github.com/TonyX19/bert_hyperpartisan

https://github.com/UFAL-DSG/tgen

https://github.com/UKPLab/e2e-nlg-challenge-2017

https://github.com/UdbhavPrasad072300/Transformer-Implementation

https://github.com/UdbhavPrasad072300/Transformer-Implementation-and-Language-Translation

https://github.com/UdbhavPrasad072300/Transformer-Implementations

https://github.com/VedantYadav/Transformer

https://github.com/Walter-B/bert-20-classes

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

https://github.com/WenjieDu/PyPOTS

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

https://github.com/XINZXZHANG/Bert_repo

https://github.com/XUJitao/WordEmbedding

https://github.com/XapaJIaMnu/transformative

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

https://github.com/XuhanLiu/Transformer

https://github.com/YYGXjpg/BERT_WL

https://github.com/Yipeng91/text_classifier_pub

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

https://github.com/Zehui127/SQUAD_BERT

https://github.com/ZmeiGorynych/transformer_pytorch

https://github.com/ZurichNLP/sockeye

https://github.com/a414351664/Bert_MRC

https://github.com/aaronH45/sentimentAnalysis

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

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

https://github.com/abhaskumarsinha/MinimalGPT

https://github.com/abhiagg92/bert_sentiment

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

https://github.com/abmitra84/Machine_Translation

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

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

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

https://github.com/agentdr1/la_mil