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Titlebook: Computational Linguistics; 15th International C Kôiti Hasida,Win Pa Pa Conference proceedings 2018 Springer Nature Singapore Pte Ltd. 2018

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Thomas Lege,Olaf Kolditz,W. Zielkeddings), and the aspect category and aspect sentiment from labeled and unlabeled data. We conduct experiments on the restaurant review data (.). Experimental results show that our proposed model outperforms other methods as Word2Vec and GloVe.
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https://doi.org/10.1007/978-3-322-88232-5which implies that the affective meaning of 4-character words may not be compositional to its component words. The study on this annotated list of 4-character words not only has significance at the intersection of cognitive neuroscience and social psychology, but also has great value as a resource for affective analysis in NLP applications.
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https://doi.org/10.1007/978-3-322-87219-7 language pairs: Indonesian-Vietnamese, Malay-Vietnamese, and Filipino-Vietnamese. By integrating grammatical and morphological information, the proposed method achieved a significant improvement of 0.5 BLEU points. This showed the effectiveness of integrating grammatical and morphological features to pivot translation.
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