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Titlebook: Natural Language Processing and Chinese Computing; 7th CCF Internationa Min Zhang,Vincent Ng,Hongying Zan Conference proceedings 2018 Sprin

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發(fā)表于 2025-3-23 13:46:18 | 只看該作者
12#
發(fā)表于 2025-3-23 17:27:56 | 只看該作者
13#
發(fā)表于 2025-3-23 19:45:30 | 只看該作者
From Humour to Hatred: A Computational Analysis of Off-Colour Humourssential so that free-speech on the internet is not curtailed. Our experiments show that deep learning methods outperforms other n-grams based approaches like SVM’s, Naive Bayes and Logistic Regression by a large margin.
14#
發(fā)表于 2025-3-23 22:36:26 | 只看該作者
15#
發(fā)表于 2025-3-24 04:37:45 | 只看該作者
Summary++: Summarizing Chinese News Articles with Attentionrchive second place in the task with a score of 0.285. The highlights of our model is that it run at character level, no extra features (e.g. part of speech, dependency structure) were used and very little preprocessing were done.
16#
發(fā)表于 2025-3-24 09:54:45 | 只看該作者
Neural Chinese Word Segmentation with Dictionary Knowledgehe second one is based on multi-task learning. The experimental results on two benchmark datasets validate that our approach can effectively improve the performance of Chinese word segmentation, especially when training data is insufficient.
17#
發(fā)表于 2025-3-24 10:59:54 | 只看該作者
18#
發(fā)表于 2025-3-24 17:33:56 | 只看該作者
19#
發(fā)表于 2025-3-24 20:46:08 | 只看該作者
Ensemble of Binary Classification for the Emotion Detection in Code-Switching Texte a novel method of converting multi-label classification into binary classification task and ensemble learning for code-switching text with sampling and emotion lexicon. Experiments show that the proposed method has achieved better performance in the code-switching text task.
20#
發(fā)表于 2025-3-25 00:42:20 | 只看該作者
0302-9743 /IE; machine learning for NLP; machine translation; and NLP applications. The papers of the second volume are organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers..978-3-319-99500-7978-3-319-99501-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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