https://github.com/seongminp/hyperseg
공식 코드Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
Papers with Code 아카이브
Extractive Summarization
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shashiongithub/Refresh
공식 코드Ranking Sentences for Extractive Summarization with Reinforcement Learning
https://github.com/shashiongithub/sidenet
공식 코드https://github.com/shichaosun/ss4sum
공식 코드Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
https://github.com/tafseer-nayeem/BengaliSummarization
공식 코드Unsupervised Abstractive Summarization of Bengali Text Documents
https://github.com/tencent-ailab/lodoss
공식 코드Toward Unifying Text Segmentation and Long Document Summarization
https://github.com/tensorflow/tensor2tensor
공식 코드https://github.com/tsosea2/covidet-ext
공식 코드https://github.com/ucfnlp/streamhover
공식 코드StreamHover: Livestream Transcript Summarization and Annotation
https://github.com/ucfnlp/summ_qa_rewards
공식 코드Guiding Extractive Summarization with Question-Answering Rewards
https://github.com/vagisha-nidhi/TextSummarizer
공식 코드https://github.com/vishakhpk/mi-unsup-summ
공식 코드Unsupervised Extractive Summarization using Pointwise Mutual Information
https://github.com/webis-de/argmining-21
공식 코드Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
https://github.com/xssstory/STAS
공식 코드Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
https://github.com/yeliu918/hetformer
공식 코드HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
https://github.com/yuedongP/BanditSum
공식 코드https://github.com/yumoxu/oreo
공식 코드https://github.com/yuping-wu/edu-vl
공식 코드EDU-level Extractive Summarization with Varying Summary Lengths
https://github.com/zhangshiyue/extractive_is_not_faithful
공식 코드https://github.com/HHousen/TransformerSum
https://github.com/MindSpore-scientific/code-6/tree/main/Neural-Side-by-Side
https://github.com/Snoopy666/Extractive-User-Review-Summaruzation-using-LSTM
https://github.com/TidalPaladin/neural-summarizer
https://github.com/adrian9631/TextSumma
https://github.com/aikawasho/BertSum
https://github.com/aseidelo/wiki_generator
https://github.com/austnbell/TextSummarizationFederatedLearning
https://github.com/baoguangsheng/g-transformer
https://github.com/brsarah20/Alphafold2
https://github.com/chalothon/lecture_extractive_sum
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/dmmiller612/bert-extractive-summarizer
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/gradjitta/bertsum-streamlit
Leveraging BERT for Extractive Text Summarization on Lectures
https://github.com/johnnyb1509/2020_VBDI_DL
https://github.com/kedz/nnsum
https://github.com/kotyukov/huaweiNLP
https://github.com/kurodenjiro/bert-extractive-summarizer-vietnamese
Leveraging BERT for Extractive Text Summarization on Lectures
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.