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Extractive Text Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 5
- 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/jiminsun/pointer-generator
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/johnnyb1509/2020_VBDI_DL
https://github.com/krystalan/k-sportssum
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/kukrishna/pointer-generator-pytorch-allennlp
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/kurodenjiro/bert-extractive-summarizer-vietnamese
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/kylehiroyasu/bert-extractive-summarizer
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/lingyu001/nlp_text_summarization_implementation
https://github.com/lucidrains/DALLE2-pytorch
https://github.com/lucidrains/En-transformer
https://github.com/lucidrains/linear-attention-transformer
https://github.com/lucidrains/memory-transformer-xl
https://github.com/lucidrains/stylegan2-pytorch
https://github.com/lvyufeng/pointer_summarizer_mindspore
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/magic282/NeuSum
Neural Document Summarization by Jointly Learning to Score and Select Sentences
https://github.com/manshri/tesum
https://github.com/maszhongming/Effective_Extractive_Summarization
Searching for Effective Neural Extractive Summarization: What Works and What's Next
https://github.com/muazhari/semantic-search
CX DB8: A queryable extractive summarizer and semantic search engine
https://github.com/mythicalhacker/Text-Summarization
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/nachotp/BertCommentSum
https://github.com/nakhunchumpolsathien/TR-TPBS
https://github.com/nakhunchumpolsathien/ThaiSum
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
https://github.com/nguyenphamvan/BertSum-master
https://github.com/olivia-fsm/p2mcq
https://github.com/prashanth41/text-summarization
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/raqoon886/KoBertSum
https://github.com/raqoon886/KorBertSum
https://github.com/rohithreddy024/Text-Summarizer-Pytorch
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/rutikasb/abstractive-text-summarization
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/sanjeevkrn/teaser_generate
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/saranthn/FYP-Bert
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/sblayush/Tensorflow-Attention
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/sblayush/summarization
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/shivampanjeta/bert-extractive-summarizer
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/steph1793/Pointer_Generator_Summarizer
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/steph1793/Pointer_Transformer_Generator
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.