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Extractive Text Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 22
Given a document, selecting a subset of the words or sentences which best represents a summary of the document.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HighCWu/stylegan2-paddle
https://github.com/Iwontbecreative/Abstractive-summarization-OpenNMT
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/Kumar-Tarun/summarization
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/LLluoling/HER
https://github.com/MindCode-4/code-7/tree/main/factorized-attention
https://github.com/NirmalenduPrakash/Document-Summarizer
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/NirmalenduPrakash/DocumentSummarizer
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/text_summarization/pointer_summarizer
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/Paleontolog/pointer_summarizer
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/Pavyel/Novelty-Detection
TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection
https://github.com/Rutts07/Summarization-using-Pointer-Generator-Networks
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/ShreyasArthur/StyleGAN-2-with-Urban-Plans
https://github.com/SiavashCS/sgan_simple
https://github.com/TidalPaladin/neural-summarizer
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/Ujwal0404/Pointer-Generator-Network
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/WolfNiu/AdversarialDialogue
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/abisee/cnn-dailymail
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/aikawasho/BertSum
https://github.com/alebryvas/berk266
https://github.com/apexmeister/PGN_pytorch_lightning
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/atulkum/pointer_summarizer
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/becxer/pointer-generator
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/buschmo/Simple-German-Corpus
https://github.com/chalothon/lecture_extractive_sum
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/chesterdu/contrastive_summary
https://github.com/danchern97/pointer_generator_pytorch
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/daphne12345/SummarizationRadiologyReports
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/dmmiller612/bert-extractive-summarizer
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/edithal-14/A-Deep-Neural-Solution-To-Document-Level-Novelty-Detection-COLING-2018-
TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection
https://github.com/gradjitta/bertsum-streamlit
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/guluguluhhhh/contrib/tree/43-1/application/factorized-attention-self-attention-with-linear-complexities
https://github.com/ionnoant/DS8008-final-project
https://github.com/ishtoo1/Text-Summarization-using-Attention
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/ishtoo1/Text-Summarization-using-Pointer-Generator-Model
Get To The Point: Summarization with Pointer-Generator Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.