Sentence Ordering
20 papers with code • 0 benchmarks • 1 datasets
Sentence ordering task deals with finding the correct order of sentences given a randomly ordered paragraph.
Benchmarks
These leaderboards are used to track progress in Sentence Ordering
OrdinalDataset
Latest papers
Are Large Language Models Temporally Grounded?
Instead, we provide LLMs with textual narratives and probe them with respect to their common-sense knowledge of the structure and duration of events, their ability to order events along a timeline, and self-consistency within their temporal model (e. g., temporal relations such as after and before are mutually exclusive for any pair of events).
Non-Autoregressive Sentence Ordering
steven640pixel/nonautoregressive-sentence-ordering
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Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step.
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
However, BIO-tagging scheme relies on the correct order of model inputs, which is not guaranteed in real-world NER on scanned VrDs where text are recognized and arranged by OCR systems.
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
IIT-PAVIS/Positional_Diffusion
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We present Positional Diffusion, a plug-and-play graph formulation with Diffusion Probabilistic Models to address positional reasoning.
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics
In order for language models to aid physics research, they must first encode representations of mathematical and natural language discourse which lead to coherent explanations, with correct ordering and relevance of statements.
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
deeplearnxmu/irseg
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EMNLP 2021
Dominant sentence ordering models can be classified into pairwise ordering models and set-to-sequence models.
Local and Global Context-Based Pairwise Models for Sentence Ordering
ruskinmanku/pairwisemodels4so
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Analysis of the two proposed decoding strategies helps better explain error propagation in pairwise models.
STaCK: Sentence Ordering with Temporal Commonsense Knowledge
declare-lab/sentence-ordering
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EMNLP 2021
Sentence order prediction is the task of finding the correct order of sentences in a randomly ordered document.
Is Everything in Order? A Simple Way to Order Sentences
fabrahman/rebart
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EMNLP 2021
We perform evaluations in a zero-shot setting, showcasing that our model is able to generalize well across other datasets.
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?
Sentence insertion is an interesting NLP problem but received insufficient attention.
