mlsanityData to 14 Oct 2026

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

arXiv 1603.03827 ↗First posted 12 Mar 2016cs.CL cs.AI cs.LGcited by 28

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Abstract (arXiv)

Recent approaches based on artificial neural networks (ANNs) have shown promising results for short-text classification. However, many short texts occur in sequences (e.g., sentences in a document or utterances in a dialog), and most existing ANN-based systems do not leverage the preceding short texts when classifying a subsequent one. In this work, we present a model based on recurrent neural networks and convolutional neural networks that incorporates the preceding short texts. Our model achieves state-of-the-art results on three different datasets for dialog act prediction.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Mar 2016.

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Citing papers per year: 2021: 8; 2022: 7; 2023: 7; 2024: 4; 2025: 2.

28 papers.

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  1. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  2. 2021ESPnet-SLU: Advancing Spoken Language Understanding through ESPnetcited by 53
  3. 2021Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversationscited by 31
  4. 2021Speaker Turn Modeling for Dialogue Act Classificationcited by 18
  5. 2021PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Modelscited by 17
  6. 2022Automated Algorithm Selection: from Feature-Based to Feature-Free Approachescited by 13
  7. 2022Dialog Acts for Task-Driven Embodied Agentscited by 13
  8. 2021Comparative Study of Long Document Classificationcited by 12
  9. 2023Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attentioncited by 6
  10. 2024Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Studycited by 5
  11. 2021IBERT: Idiom Cloze-style reading comprehension with Attentioncited by 4
  12. 2021Fuzzy Classification of Multi-intent Utterancescited by 2
16 more
  1. 2023TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERTcited by 2
  2. 2024Artificial Intuition: Efficient Classification of Scientific Abstractscited by 2
  3. 2022Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Taskcited by 1
  4. 2022A Universality-Individuality Integration Model for Dialog Act Classificationcited by 1
  5. 2023Hawk: An Industrial-strength Multi-label Document Classifiercited by 1
  6. 2023SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classificationcited by 1
  7. 2022HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classificationcited by 0
  8. 2022A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standardcited by 0
  9. 2022LSTM based models stability in the context of Sentiment Analysis for social mediacited by 0
  10. 2023Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approachescited by 0
  11. 2023Multidimensional Perceptron for Efficient and Explainable Long Text Classificationcited by 0
  12. 2023Machine Learning Technique Based Fake News Detectioncited by 0
  13. 2024Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localizationcited by 0
  14. 2024QiBERT -- Classifying Online Conversations Messages with BERT as a Featurecited by 0
  15. 2025Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Votingcited by 0
  16. 2025ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Modelcited by 0