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 with no code
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
As a result, we explore approaches to build discourse structures for dialogues, based on attention matrices from Pre-trained Language Models (PLMs).
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
The task of learning to map an input set onto a permuted sequence of its elements is challenging for neural networks.
Pruned Graph Neural Network for Short Story Ordering
We propose a new method for constructing sentence-entity graphs of short stories to create the edges between sentences and reduce noise in our graph by replacing the pronouns with their referring entities.
Assessing the Coherence Modeling Capabilities of Pretrained Transformer-based Language Models
We present a simple architecture for sentence ordering that relies exclusively on pretrained Transformer-based encoder-only models.
A New Sentence Ordering Method Using BERT Pretrained Model
An essential component of NLU is to detect logical succession of events contained in a text.
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering
One approach to learn the sequence of events is to study the order of sentences in a coherent text.
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
Sentence ordering aims to arrange the sentences of a given text in the correct order.
Evaluating Text Coherence at Sentence and Paragraph Levels
In this paper, to evaluate text coherence, we propose the paragraph ordering task as well as conducting sentence ordering.
On the Creation of a Corpus for Coherence Evaluation of Discursive Units
We experimented with a variety of corruption strategies to create synthetic incoherent pairs of discourse arguments from coherent ones.
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
Although coherence modeling has come a long way in developing novel models, their evaluation on downstream applications for which they are purportedly developed has largely been neglected.
