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Sentence Ordering
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Sentence ordering task deals with finding the correct order of sentences given a randomly ordered paragraph.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
OrderSum: Semantic Sentence Ordering for Extractive Summarization
EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning
Are Large Language Models Temporally Grounded?
Non-Autoregressive Sentence Ordering
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
Pruned Graph Neural Network for Short Story Ordering
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
Local and Global Context-Based Pairwise Models for Sentence Ordering
STaCK: Sentence Ordering with Temporal Commonsense Knowledge
A New Sentence Ordering Method Using BERT Pretrained Model
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering
Is Everything in Order? A Simple Way to Order Sentences
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
Neural Sentence Ordering Based on Constraint Graphs
On Losses for Modern Language Models
Evaluating Text Coherence at Sentence and Paragraph Levels
Topological Sort for Sentence Ordering
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
Deep Attentive Ranking Networks for Learning to Order Sentences
Graph-based Neural Sentence Ordering
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
Partially Shuffling the Training Data to Improve Language Models
Discourse-Aware Neural Rewards for Coherent Text Generation
Text Coherence Analysis Based on Deep Neural Network
An entity-driven recursive neural network model for chinese discourse coherence modeling
End-to-End Neural Sentence Ordering Using Pointer Network
Sentence Ordering and Coherence Modeling using Recurrent Neural Networks
Neural Sentence Ordering
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