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Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings.

, , and . COLING, page 925-936. Association for Computational Linguistics, (2018)

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Collecting and Sharing Bilingual Spontaneous Speech Corpora: the ChinFaDial Experiment., , , and . LREC, European Language Resources Association, (2004)A New Effective Neural Variational Model with Mixture-of-Gaussians Prior for Text Clustering., , , and . ICTAI, page 1390-1395. IEEE, (2019)Learning Generalized Features for Semantic Role Labeling., and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 15 (4): 28:1-28:16 (2016)Chinese R&D in Natural Language Technology., and . IEEE Intell. Syst., 23 (6): 42-48 (2008)Chinese spoken language analyzing based on combination of statistical and rule methods., , and . INTERSPEECH, page 613-616. ISCA, (2002)Japanese-to-Chinese spoken language translation based on the simple expression., , , , and . INTERSPEECH, page 418-421. ISCA, (2000)Multi-modal Sentence Summarization with Modality Attention and Image Filtering., , , , and . IJCAI, page 4152-4158. ijcai.org, (2018)The technical analysis on translation templates., and . SMC (5), page 4799-4803. IEEE, (2004)One Sentence One Model for Neural Machine Translation., , and . LREC, European Language Resources Association (ELRA), (2018)Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings., , and . COLING, page 925-936. Association for Computational Linguistics, (2018)