mlsanityData to 14 Oct 2026

Sentence-State LSTM for Text Representation

arXiv 1805.02474 ↗First posted 7 May 2018cs.CL cs.LG stat.MLcited by 22

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Abstract (arXiv)

Bi-directional LSTMs are a powerful tool for text representation. On the other hand, they have been shown to suffer various limitations due to their sequential nature. We investigate an alternative LSTM structure for encoding text, which consists of a parallel state for each word. Recurrent steps are used to perform local and global information exchange between words simultaneously, rather than incremental reading of a sequence of words. Results on various classification and sequence labelling benchmarks show that the proposed model has strong representation power, giving highly competitive performances compared to stacked BiLSTM models with similar parameter numbers.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 May 2018.

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Citing papers per year: 2021: 11; 2022: 5; 2023: 2; 2024: 1; 2025: 3.

22 papers.

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  2. 2021Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Predictioncited by 31
  3. 2021Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysiscited by 30
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  6. 2022BERTifying Sinhala -- A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classificationcited by 16
  7. 2022InducT-GCN: Inductive Graph Convolutional Networks for Text Classificationcited by 15
  8. 2021Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarizationcited by 6
  9. 2021Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderingscited by 4
  10. 2022Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Taggingcited by 4
  11. 2024Improving Long Text Understanding with Knowledge Distilled from Summarization Modelcited by 3
  12. 2021Locally-Contextual Nonlinear CRFs for Sequence Labelingcited by 2
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  3. 2022Pre-Training a Graph Recurrent Network for Language Representationcited by 1
  4. 2021Dual-State Capsule Networks for Text Classificationcited by 0
  5. 2021KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformerscited by 0
  6. 2022Pruned Graph Neural Network for Short Story Orderingcited by 0
  7. 2023A Global Context Mechanism for Sequence Labelingcited by 0
  8. 2025An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilationcited by 0
  9. 2025LinguaSynth: Heterogeneous Linguistic Signals for News Classificationcited by 0
  10. 2025AI-Assisted Authoring for Transparent, Data-Driven Documentscited by 0