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Chinese Short Text Classification with Mutual-Attention Convolutional Neural Networks

https://doi.org/10.1145/3388970
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Attention-aware perceptual enhancement nets for low-resolution image classification
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Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
inferredcites →https://doi.org/10.1109/cvpr.2017.667openalex-snapshot
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-snapshot
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/ijcnn52387.2021openalex-snapshot
2021 International Joint Conference on Neural Networks (IJCNN)
inferredcites →https://doi.org/10.1109/wi.2016.0029openalex-snapshot
Compositional Recurrent Neural Networks for Chinese Short Text Classification
inferredcites →https://doi.org/10.1145/3097983.3098088openalex-snapshot
Dipole
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Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration
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Empirical Exploring Word-Character Relationship for Chinese Sentence Representation
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Fully Character-Level Neural Machine Translation without Explicit Segmentation
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ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
inferredcites →https://doi.org/10.13053/cys-21-4-2847openalex-snapshot
Hybrid Attention Networks for Chinese Short Text Classification
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015981openalex-snapshot
Residual Invertible Spatio-Temporal Network for Video Super-Resolution
inferredcites →https://doi.org/10.1609/aaai.v33i01.33016634openalex-snapshot
Lattice CNNs for Matching Based Chinese Question Answering
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-mainopenalex-snapshot
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d15-1openalex-snapshot
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/e17-1104openalex-snapshot
Very Deep Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.18653/v1/n16-1035openalex-snapshot
Top-down Tree Long Short-Term Memory Networks
inferredcites →https://doi.org/10.18653/v1/n16-1062openalex-snapshot
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
inferredcites →https://doi.org/10.18653/v1/p16-2034openalex-snapshot
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
inferredcites →https://doi.org/10.18653/v1/p18-1144openalex-snapshot
Chinese NER Using Lattice LSTM
inferredcites →https://doi.org/10.18653/v1/p18-1216openalex-snapshot
Joint Embedding of Words and Labels for Text Classification
inferredcites →https://doi.org/10.18653/v1/p18-2023openalex-snapshot
Analogical Reasoning on Chinese Morphological and Semantic Relations
inferredcites →https://doi.org/10.3115/1220355openalex-snapshot
Proceedings of the 20th international conference on Computational Linguistics - COLING '04
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.48550/arxiv.1509.01626openalex-snapshot
Character-level Convolutional Networks for Text Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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W-Hash: A Novel Word Hash Clustering Algorithm for Large-Scale Chinese Short Text Analysis
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Radical-attended and Pinyin-attended malicious long-tail keywords detection
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Multi-contextual learning in disinformation research: A review of challenges, approaches, and opportunities
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Text classification using deep learning techniques: a bibliometric analysis and future research directions
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Research on the Classification Method of CTC Alignment Joint-Test Problems Based on RoBERTa-wwm and Deep Learning Integration
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A Character-Word Graph Attention Networks for Chinese Text Classification
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A Sentiment Classification Method of Web Social Media Based on Multidimensional and Multilevel Modeling
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Prompt-Learning for Short Text Classification
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TRG-DAtt: The Target Relational Graph and Double Attention Network Based Sentiment Analysis and Prediction for Supporting Decision Making
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Short Text Classification of Chinese with Label Information Assisting
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A Chinese Short Text Classification Method for Tax Audit Reports based on Word Importance and Syntactic Enhancement BERT
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AdDetector: Detecting Chinese Advertorials on Social Media Platforms with Textual and Social Information
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A multi-feature fusion model based on long and short term memory network and improved artificial bee colony algorithm for Esnglish text classification
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