SOTAVerified

Sentence Ordering

Sentence ordering task deals with finding the correct order of sentences given a randomly ordered paragraph.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 50 papers

TitleStatusHype
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information—0
Towards Coherent Multi-Document Summarization—0
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization—0
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
An entity-driven recursive neural network model for chinese discourse coherence modeling—0
A New Sentence Ordering Method Using BERT Pretrained Model—0
A Simple yet Effective Method for Sentence Ordering—0
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text—0
Assessing the Coherence Modeling Capabilities of Pretrained Transformer-based Language Models—0
Automatic sentence classifier using sentence ordering features for Event Based Medicine: Shared task system description—0
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT—0
BERT-enhanced Relational Sentence Ordering Network—0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—0
Deep Attentive Ranking Networks for Learning to Order Sentences—0
Deep Attentive Sentence Ordering Network—0
Discourse-Aware Neural Rewards for Coherent Text Generation—0
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues—0
End-to-End Neural Sentence Ordering Using Pointer Network—0
Evaluating Text Coherence at Sentence and Paragraph Levels—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?—0
基于子词级别词向量和指针网络的朝鲜语句子排序(Korean Sentence Ordering Based on Sub Word Level Word Vector and Pointer Network)—0
Learning Sentence Ordering for Opinion Generation of Debate—0
Neural Sentence Ordering—0
On the Creation of a Corpus for Coherence Evaluation of Discursive Units—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4-TurboAccuracy0.57—Unverified
2GPT-4Accuracy0.55—Unverified
3GPT-3.5-TurboAccuracy0.38—Unverified
4Llama-3-8B-InstructAccuracy0.35—Unverified
5Mistral-7B-Instruct-v0.2Accuracy0.32—Unverified
6Mistral-7B-v0.2Accuracy0.26—Unverified
7Mistral-7B-v0.1Accuracy0.26—Unverified
8Llama-3-8BAccuracy0.24—Unverified
9Zephyr-7B-AlphaAccuracy0.23—Unverified
10Yi-6B-ChatAccuracy0.21—Unverified