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Abstractive Text Summarization

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보존된 평가 기록: 98

Abstractive Text Summarization is the task of generating a short and concise summary that captures the salient ideas of the source text. The generated summaries potentially contain new phrases and sentences that may not appear in the source text.

Source: Generative Adversarial Network for Abstractive Text Summarization

Image credit: Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

코드

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

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/text_summarization/pointer_summarizer

Get To The Point: Summarization with Pointer-Generator Networks

https://github.com/PaddlePaddle/PaddleSpeech

Attention Is All You Need

https://github.com/Paleontolog/pointer_summarizer

Get To The Point: Summarization with Pointer-Generator Networks

https://github.com/Pezhin/best_yelp_review_project_ever

Attention Is All You Need

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

Attention Is All You Need

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

Attention Is All You Need

https://github.com/Remiphilius/PoemesProfonds

Attention Is All You Need

https://github.com/RenXiangyuan/tf_bert

Attention Is All You Need

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

Attention Is All You Need

https://github.com/Rutts07/Summarization-using-Pointer-Generator-Networks

Get To The Point: Summarization with Pointer-Generator Networks

https://github.com/SCismycat/bert_code_view

Attention Is All You Need

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

Attention Is All You Need

https://github.com/Satan012/BERT

Attention Is All You Need

https://github.com/SeoroMin/transformer_pytorch

Attention Is All You Need

https://github.com/SeoroMin/transformer_pytorch_ver2

Attention Is All You Need

https://github.com/Sharif-SLPL/t5-fa

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

https://github.com/Sharpiless/Versailles-text-generation-with-paddlepaddle

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

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

Attention Is All You Need

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

Attention Is All You Need

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

Attention Is All You Need

https://github.com/ShuvenduBikash/transformer_spelling_corrector

Attention Is All You Need

https://github.com/ShwetaBaranwal/Transformer

Attention Is All You Need

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

Attention Is All You Need

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

Attention Is All You Need

https://github.com/StevenLai1994/AM_and_LM

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

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https://github.com/StoneGH/bert

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

Attention Is All You Need

https://github.com/TSLNIHAOGIT/bert

Attention Is All You Need

https://github.com/TSLNIHAOGIT/bert_run

Attention Is All You Need

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

Attention Is All You Need

https://github.com/TaiseiAso/BiGruAttEncDec

A Simple, Fast Diverse Decoding Algorithm for Neural Generation

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

Attention Is All You Need

https://github.com/TheTensorDude/transformer-tf

Attention Is All You Need

https://github.com/TieDanCuihua/Get-To-The-Point-Summarization-with-Pointer-Generator-Networks

Get To The Point: Summarization with Pointer-Generator Networks

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

Attention Is All You Need

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