Papers with Code 아카이브

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/2024-MindSpore-1/Code2/tree/main/model-1/audio_spectrogram_transformer

https://github.com/2miatran/Natural-Language-Processing

https://github.com/A-Jacobson/minimal-nmt

https://github.com/AIPHES/emnlp19-moverscore

https://github.com/AlCorreia/FABIR

https://github.com/Amy-1114/transformer

https://github.com/AndreiMoraru123/Neural-Machine-Translation

https://github.com/Andrey885/Machine_translation_PyTorch

https://github.com/ArdalanM/nlp-benchmarks

https://github.com/Arthurizijar/Bert_Airport

https://github.com/ArvidWartenberg/retrosynthesis

https://github.com/AssafSinger94/sigmorphon-2020-inflection

https://github.com/AtluriNikhil/Image-Captioning

https://github.com/Aveek-Saha/Transformer

https://github.com/BasileBron/Artificial-Intelligence-Lexical

https://github.com/Belval/NRTR

https://github.com/Bhavnicksm/vanilla-transformer-jax

https://github.com/BrianPulfer/PapersReimplementations

https://github.com/CGCL-codes/naturalcc

https://github.com/CVxTz/music_genre_classification

https://github.com/Caesarzhang/bert-zh

https://github.com/Chang-Chia-Chi/SaintPlus-Knowledge-Tracing-Pytorch

https://github.com/Charliesgithub20221030/BERT

https://github.com/Chinnu1103/Machine-Translation-using-Transformers

https://github.com/Chonwai/Learning_BERT

https://github.com/Colanim/BERT_STS-B

https://github.com/CongBao/ChatBot

https://github.com/DJJune/Transformer

https://github.com/DanieleVeri/deep_comedy

https://github.com/Dave870907/Transformer

https://github.com/DeligientSloth/QQsim

https://github.com/DeligientSloth/bert-tensorflow

https://github.com/DeokO/bert-excercise-ongoing

https://github.com/DevSinghSachan/multilingual_nmt

https://github.com/Doffery/BERT-Sentiment-Analysis-Amazon-Review

https://github.com/DorinK/Assignment-2-Neural-Machine-Translation