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
Deep Attentive Ranking Networks for Learning to Order Sentences
We apply our framework on two tasks: Sentence Ordering and Order Discrimination.
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information
We propose a novel topic-guided coherence modeling (TGCM) for sentence ordering.
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
Risk mining technologies seek to find relevant textual extractions that capture entity-risk relationships.
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions
The growing number of biomedical publications is a challenge for human researchers, who invest considerable effort to search for relevant documents and pinpointed answers.
Deep Attentive Sentence Ordering Network
In this paper, we propose a novel deep attentive sentence ordering network (referred as ATTOrderNet) which integrates self-attention mechanism with LSTMs in the encoding of input sentences.
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
We present a generative probabilistic model of documents as sequences of sentences, and show that inference in it can lead to extraction of long-range latent discourse structure from a collection of documents.
Discourse-Aware Neural Rewards for Coherent Text Generation
In this paper, we investigate the use of discourse-aware rewards with reinforcement learning to guide a model to generate long, coherent text.
An entity-driven recursive neural network model for chinese discourse coherence modeling
Chinese discourse coherence modeling remains a challenge taskin Natural Language Processing field. Existing approaches mostlyfocus on the need for feature engineering, whichadoptthe sophisticated features to capture the logic or syntactic or semantic relationships acrosssentences within a text. In this paper, we present an entity-drivenrecursive deep modelfor the Chinese discourse coherence evaluation based on current English discourse coherenceneural network model.
End-to-End Neural Sentence Ordering Using Pointer Network
However, it is nontrivial for pair-wise models to incorporate the contextual sentence information.
Neural Sentence Ordering
Sentence ordering is a general and critical task for natural language generation applications.
