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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/saurabhnlp/bert

https://github.com/sauram/Machine-Translation-using-Attention-Model

https://github.com/say2sarwar/DeepAcid

https://github.com/sblayush/Tensorflow-Attention

https://github.com/sblayush/summarization

https://github.com/scrayish/ML_NLP

https://github.com/semal/bert

https://github.com/semicontinuity/nlp

https://github.com/sen-pai/audio-word2vec-pytorch

https://github.com/seominseok0429/inception-I3D-NON-LOCAL

https://github.com/seunghwan1228/Transfomer-MachineTranslation

https://github.com/sh951011/Attention-Implementation

https://github.com/shahrukhx01/ocr-test

https://github.com/shaikhzhas/bert

https://github.com/shao-chi/ImageCaption

https://github.com/sherinaseri/bert

https://github.com/shlokmehrotra/Convocare

https://github.com/shouvikcirca/Transformer

https://github.com/shouvikcirca/Transformer_MiniProject

https://github.com/shreyash8/English_to_Hindi_NMT

https://github.com/shreyashankar/gpt3-sandbox

https://github.com/shuaishuaij/Machine-Translation

https://github.com/shyam-skk/Parallel_CNN_Transfromer

https://github.com/simonjisu/annotated-transformer-kr

https://github.com/sjyttkl/Transformer_learning

https://github.com/socc-io/piqaboo

https://github.com/sonalisrijan/Deep-Learning-based-Defect-Prediction-Model-for-Source-Code

https://github.com/sonrisa07/transformer

https://github.com/sooftware/Attention-Implementation

https://github.com/sooftware/attentions

https://github.com/sooftware/nlp-attentions

https://github.com/soumik12345/transformer.pytorch

https://github.com/souvikshanku/translit-former

https://github.com/stevinc/Transformer_Timeseries

https://github.com/studio-ousia/luke

https://github.com/svakulenk0/response_eval