Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding

Keywords

Categorization, Computer science, Convolutional neural network, Artificial intelligence, Embedding

References

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Cited by

• Supervised and Semi-Supervised Text Categorization using LSTM for Region EmbeddingsRie Johnson, Tong Zhang — 2016
• Virtual Adversarial Training for Semi-Supervised Text ClassificationTakeru Miayto, Andrew M. Dai, Ian Goodfellow — 2016
• Rationale-Augmented Convolutional Neural Networks for Text ClassificationYe Zhang, Iain Marshall, Byron Wallace — 2016
• Mutual exclusivity loss for semi-supervised deep learningMehdi S. M. Sajjadi, Mehran Javanmardi, Tolga Taşdizen — 2016
• Representation learning for very short texts using weighted word embedding aggregationCedric De Boom, Steven Van Canneyt, Thomas Demeester — 2016
• Detecting predatory conversations in social media by deep Convolutional Neural NetworksMohammadreza Ebrahimi, Ching Y. Suen, Olga Ormandjieva — 2016
• Automatic Identification of Online Predators in Chat Logs by Anomaly Detection and Deep LearningMohammadreza Ebrahimi — 2016
• SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant SupervisionJan Deriu, Maurice Gonzenbach, Fatih Uzdilli — 2016
• Sentiment Classification and Medical Health Record Analysis using Convolutional Neural NetworksMaurice Gonzenbach — 2016
• Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-levelRie Johnson, Tong Zhang — 2016
• Sentiment Analysis using Deep Convolutional Neural Networks with Distant SupervisionJan Deriu — 2016
• Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain DataBoxing Chen, Fei Huang — 2016
• Deep Learning on Improved Word Embedding Model for Topic Classification盈盈 周 — 2016
• Learning to Answer Questions by Understanding Using Entity-Based Memory NetworkXun Wang, Katsuhito Sudoh, Masaaki Nagata — 2016
• Sentiment Detection using Convolutional Neural Networks with Multi-Task Training and Distant Supervision.Jan Deriu, Mark Cieliebak — 2016
• CNN- and LSTM-based Claim Classification in Online User CommentsChinnappa Guggilla, Tristan Miller, Iryna Gurevych — 2016
• Reliable Baselines for Sentiment Analysis in Resource-Limited Languages: The Serbian Movie Review DatasetVuk Batanović, Boško Nikolić, Milan Milosavljević — 2016
• Weighted Neural Bag-of-n-grams Model: New Baselines for Text ClassificationBofang Li, Zhe Zhao, Tao Liu — 2016
• Classification of tweets into policy agenda topicsRihui Li — 2016
• Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment ClassificationJan Deriu, Aurélien Lucchi, Valéria De Luca — 2017

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