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Improving Word Alignment Through Morphological Analysis.

, , , , , and . IUKM, volume 9376 of Lecture Notes in Computer Science, page 315-325. Springer, (2015)

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Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators., , , and . Data Knowl. Eng., 63 (2): 381-396 (2007)Combining Statistical Machine Learning with Transformation Rule Learning for Vietnamese Word Sense Disambiguation., , and . RIVF, page 1-6. IEEE, (2012)Exploiting multiple word embeddings and one-hot character vectors for aspect-based sentiment analysis., and . Int. J. Approx. Reason., (2018)Word Sense Disambiguation by Combining Classifiers with an Adaptive Selection of Context Representation., , and . Inf. Media Technol., 1 (2): 973-993 (2006)Automatically Learning Patterns in Subjectivity Classification for Vietnamese., , , and . KSE, volume 326 of Advances in Intelligent Systems and Computing, page 629-640. Springer, (2014)Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation., , and . Comput. Speech Lang., 24 (3): 461-473 (2010)Smoothing the parameter of IBM word alignment models: the framework and its learning approaches., and . CoRR, (2016)Integrating Word Embeddings into IBM Word Alignment Models., , , and . KSE, page 79-84. IEEE, (2018)Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning., , and . IEEE Access, (2023)Determing Aspect Ratings and Aspect Weights from Textual Reviews by Using Neural Network with Paragraph Vector Model., , and . CSoNet, volume 9795 of Lecture Notes in Computer Science, page 309-320. Springer, (2016)