Dechuan Yang

Also published as: De Yang


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Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction
Jing Chen | Dechuan Yang | Xilian Li | Wei Chen | Tengjiao Wang
Proceedings of the 12th International Workshop on Semantic Evaluation

This paper describes our participation in SemEval 2018 Task 2: Multilingual Emoji Prediction, in which participants are asked to predict a tweet’s most associated emoji from 20 emojis. Instead of regarding it as a 20-class classification problem we regard it as a text similarity problem. We propose a vector similarity based approach for this task. First the distributed representation (tweet vector) for each tweet is generated, then the similarity between this tweet vector and each emoji’s embedding is evaluated. The most similar emoji is chosen as the predicted label. Experimental results show that our approach performs comparably with the classification approach and shows its advantage in classifying emojis with similar semantic meaning.


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Ch2R: A Chinese Chatter Robot for Online Shopping Guide
Peijie Huang | Xianmao Lin | Zeqi Lian | De Yang | Xiaoling Tang | Li Huang | Qiang Huang | Xiupeng Wu | Guisheng Wu | Xinrui Zhang
Proceedings of the Third CIPS-SIGHAN Joint Conference on Chinese Language Processing