Sentence Ordering
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Sentence ordering task deals with finding the correct order of sentences given a randomly ordered paragraph.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DeepLearnXMU/NSEG
공식 코드https://github.com/Espresso-AI/OrderSum
공식 코드OrderSum: Semantic Sentence Ordering for Extractive Summarization
https://github.com/IIT-PAVIS/Positional_Diffusion
공식 코드Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
https://github.com/StephAO/olfmlm
공식 코드https://github.com/chongzhangfdu/tpp
공식 코드Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
https://github.com/declare-lab/sentence-ordering
공식 코드STaCK: Sentence Ordering with Temporal Commonsense Knowledge
https://github.com/deeplearnxmu/irseg
공식 코드Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
https://github.com/fabrahman/rebart
공식 코드https://github.com/jmeadows17/physnlu
공식 코드https://github.com/ofirpress/PartialShuffle
공식 코드Partially Shuffling the Training Data to Improve Language Models
https://github.com/ruskinmanku/pairwisemodels4so
공식 코드Local and Global Context-Based Pairwise Models for Sentence Ordering
https://github.com/shrimai/Topological-Sort-for-Sentence-Ordering
공식 코드https://github.com/steven640pixel/nonautoregressive-sentence-ordering
공식 코드https://github.com/yfqiu-nlp/temporal-llms
공식 코드https://github.com/yinzhu-quan/lm-evaluation-harness
공식 코드https://github.com/WinterShiver/Token-Path-Prediction
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
https://github.com/geekSiddharth/DeepCoherence
https://github.com/psawa/gecko-app
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.