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Extractive Text Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/FMOpee/WGSS
공식 코드https://github.com/Hellisotherpeople/CX_DB8
공식 코드CX DB8: A queryable extractive summarizer and semantic search engine
https://github.com/Hellisotherpeople/DebateSum
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/Hellisotherpeople/debate2vec
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/abisee/pointer-generator
공식 코드Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/arvind-balaji/debate-cards
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/boheumd/A2Summ
공식 코드Align and Attend: Multimodal Summarization with Dual Contrastive Losses
https://github.com/brxx122/HeterSUMGraph
공식 코드Heterogeneous Graph Neural Networks for Extractive Document Summarization
https://github.com/cmsflash/efficient-attention
공식 코드https://github.com/dmmiller612/lecture-summarizer
공식 코드Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/euranova/CASS-dataset
공식 코드STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
https://github.com/jiacheng-xu/DiscoBERT
공식 코드https://github.com/jiacheng-xu/neu-compression-sum
공식 코드Neural Extractive Text Summarization with Syntactic Compression
https://github.com/kepingbi/ARedSumSentRank
공식 코드AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
https://github.com/lliangchenc/DeepChannel
공식 코드DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
https://github.com/maszhongming/MatchSum
공식 코드https://github.com/nianlonggu/memsum
공식 코드https://github.com/nlpyang/BertSum
공식 코드https://github.com/nlpyang/PreSumm
공식 코드https://github.com/ppapalampidi/SUMMER
공식 코드https://github.com/shashiongithub/Refresh
공식 코드Ranking Sentences for Extractive Summarization with Reinforcement Learning
https://github.com/xssstory/STAS
공식 코드Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
https://github.com/yingtaomj/Iterative-Document-Representation-Learning-Towards-Summarization-with-Polishing
공식 코드Iterative Document Representation Learning Towards Summarization with Polishing
https://github.com/yuedongP/BanditSum
공식 코드https://github.com/96jonesa/StyleGan2-Colab-Demo
https://github.com/AIKevin/Pointer_Generator_Summarizer
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/Akankshakarotia/Pre-training-meets-Clustering-A-Hybrid-Extractive-Multi-Document-Summarization-Model
https://github.com/AndreyKolomiets/News_Headline_Generation
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/ArvindSridhar/AbstractiveTextSummarization
Get To The Point: Summarization with Pointer-Generator Networks
https://github.com/Bakikii/stylegan2-pytorch23
https://github.com/BonanKou/ASSORT-Automatic-Summarization-of-Stack-Overflow-Posts
https://github.com/Di-Is/stylegan2-ada-pytorch
https://github.com/Flo-tyna/Biomedical-Text-Summarizer
https://github.com/Ganeshpadmanaban/Neural-Attention-Model
A Neural Attention Model for Abstractive Sentence Summarization
https://github.com/Ganeshpadmanaban/Neural-Attention-Model-Abstractive-Summarization
A Neural Attention Model for Abstractive Sentence Summarization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.