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Extractive Summarization
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/csong27/collision-bert
공식 코드https://github.com/dennlinger/summaries
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/google-research/google-research/tree/master/etcsum
공식 코드Stepwise Extractive Summarization and Planning with Structured Transformers
https://github.com/hongwang600/Summarization
공식 코드Self-Supervised Learning for Contextualized Extractive Summarization
https://github.com/hpzhang94/diffusum
공식 코드DiffuSum: Generation Enhanced Extractive Summarization with Diffusion
https://github.com/hpzhang94/hegel_sum
공식 코드HEGEL: Hypergraph Transformer for Long Document Summarization
https://github.com/jarobyte91/quotes
공식 코드https://github.com/jwparktom/continual-bert
공식 코드Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
https://github.com/kata-ai/indosum
공식 코드IndoSum: A New Benchmark Dataset for Indonesian Text Summarization
https://github.com/kepingbi/ARedSumSentRank
공식 코드AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
https://github.com/knot-fit-but/oapapers
공식 코드https://github.com/knot-fit-but/oapapersviewer
공식 코드https://github.com/kukrishna/usb
공식 코드USB: A Unified Summarization Benchmark Across Tasks and Domains
https://github.com/lauramanor/legal_summarization
공식 코드https://github.com/litesslhub/disco
공식 코드DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
https://github.com/manestay/novel-chapter-dataset
공식 코드Exploring Content Selection in Summarization of Novel Chapters
https://github.com/maszhongming/MatchSum
공식 코드https://github.com/mihir3009/extract-ai
공식 코드Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
https://github.com/mirzaalimm/truncationvssummarization
공식 코드Investigating Text Shortening Strategy in BERT: Truncation vs Summarization
https://github.com/molichenxi/haesum
공식 코드Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level
https://github.com/morningmoni/FAR
공식 코드https://github.com/mukhtar-algezoli/Arabic_PreSumm
공식 코드https://github.com/nianlonggu/memsum
공식 코드https://github.com/nianlonggu/memsum-dqa
공식 코드https://github.com/nlpyang/BertSum
공식 코드https://github.com/nlpyang/PreSumm
공식 코드TWEETSUMM -- A Dialog Summarization Dataset for Customer Service
https://github.com/opensum/bigae
공식 코드https://github.com/pangolulu/product-short-title
공식 코드Automatic Generation of Chinese Short Product Titles for Mobile Display
https://github.com/ppapalampidi/SUMMER
공식 코드https://github.com/qhapaq-49/imakita
공식 코드Extractive Summarization via Weighted Dissimilarity and Importance Aligned Key Iterative Algorithm
https://github.com/raymondzmc/attention-pattern-exploitation
공식 코드https://github.com/ronaldahmed/redundancy-kvd
공식 코드On the Trade-off between Redundancy and Local Coherence in Summarization
https://github.com/sciencenlp-lab/llm-ssc
공식 코드Multi-label Sequential Sentence Classification via Large Language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.