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Topic Memory Networks for Short Text Classification

arXiv 1809.03664 ↗First posted 11 Sep 2018cs.CLcited by 25

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Abstract (arXiv)

Many classification models work poorly on short texts due to data sparsity. To address this issue, we propose topic memory networks for short text classification with a novel topic memory mechanism to encode latent topic representations indicative of class labels. Different from most prior work that focuses on extending features with external knowledge or pre-trained topics, our model jointly explores topic inference and text classification with memory networks in an end-to-end manner. Experimental results on four benchmark datasets show that our model outperforms state-of-the-art models on short text classification, meanwhile generates coherent topics.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Sep 2018.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 6; 2024: 5; 2025: 1; 2026: 1.

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  1. 2022Cross-modal Memory Networks for Radiology Report Generationcited by 183
  2. 2021Topic Modelling Meets Deep Neural Networks: A Surveycited by 51
  3. 2021Enriching and Controlling Global Semantics for Text Summarizationcited by 20
  4. 2021Topic-Guided Abstractive Multi-Document Summarizationcited by 19
  5. 2024A Survey on Neural Topic Models: Methods, Applications, and Challengescited by 18
  6. 2023Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modelingcited by 16
  7. 2021Hierarchical Heterogeneous Graph Representation Learning for Short Text Classificationcited by 13
  8. 2023VIBE: Topic-Driven Temporal Adaptation for Twitter Classificationcited by 12
  9. 2021Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversationscited by 8
  10. 2021Out-of-Town Recommendation with Travel Intention Modelingcited by 6
  11. 2024Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledgecited by 5
  12. 2024Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEscited by 5
13 more
  1. 2022GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extractioncited by 2
  2. 2022Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classificationcited by 2
  3. 2023Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filteringcited by 2
  4. 2024CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Modelcited by 2
  5. 2024Generative Deduplication For Socia Media Data Selectioncited by 2
  6. 2023UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimizationcited by 1
  7. 2021Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis managementcited by 0
  8. 2021A Smart and Defensive Human-Machine Approach to Code Analysiscited by 0
  9. 2022Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variablescited by 0
  10. 2023HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understandingcited by 0
  11. 2023Let the Pretrained Language Models "Imagine" for Short Texts Topic Modelingcited by 0
  12. 2025Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Modelscited by 0
  13. 2026WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detectioncited by 0