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Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

arXiv 1808.06161 ↗First posted 19 Aug 2018cs.CLcited by 22

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Abstract (arXiv)

Prevalent models based on artificial neural network (ANN) for sentence classification often classify sentences in isolation without considering the context in which sentences appear. This hampers the traditional sentence classification approaches to the problem of sequential sentence classification, where structured prediction is needed for better overall classification performance. In this work, we present a hierarchical sequential labeling network to make use of the contextual information within surrounding sentences to help classify the current sentence. Our model outperforms the state-of-the-art results by 2%-3% on two benchmarking datasets for sequential sentence classification in medical scientific abstracts.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Aug 2018.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 5; 2024: 7; 2025: 2; 2026: 4.

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  1. 2023AI vs. Human -- Differentiation Analysis of Scientific Content Generationcited by 21
  2. 2022X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documentscited by 12
  3. 2021Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Paperscited by 11
  4. 2025STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarkingcited by 8
  5. 2021Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideascited by 7
  6. 2023Understand Legal Documents with Contextualized Large Language Modelscited by 5
  7. 2023Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documentscited by 3
  8. 2023Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinionscited by 2
  9. 2024Multi-label Sequential Sentence Classification via Large Language Modelcited by 2
  10. 2025FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documentscited by 2
  11. 2022Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Taskcited by 1
  12. 2023Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledgecited by 1
10 more
  1. 2024SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovationcited by 1
  2. 2024Classification and Clustering of Sentence-Level Embeddings of Scientific Articles Generated by Contrastive Learningcited by 1
  3. 2026Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labelingcited by 1
  4. 2024LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstractscited by 0
  5. 2024Detection of fields of applications in biomedical abstracts with the support of argumentation elementscited by 0
  6. 2024Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awarenesscited by 0
  7. 2024Black-Box Segmentation of Electronic Medical Recordscited by 0
  8. 2026Enhancing Science Classroom Discourse Analysis through Joint Multi-Task Learning for Reasoning-Component Classificationcited by 0
  9. 2026Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitizationcited by 0
  10. 2026Improving Cross-Lingual Transfer for Sequential Sentence Classification in Research Papers via Structural Similaritycited by 0