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Semeval-2016 task 5: Aspect based sentiment analysis

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Feasible algorithm for linear mixed model for massive data.. Communications in Statistics - Simulation and Computation, 47 (4): 1126-1133 (2018)Semeval-2016 task 5: Aspect based sentiment analysis, , , , , , , , , and 1 other author(s). Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016), page 19--30. (2016)Research on Magnetotactic Bacteria Optimization Algorithm Based on the Best Individual., , , and . BIC-TA, volume 472 of Communications in Computer and Information Science, page 318-322. Springer, (2014)Neural personalized response generation as domain adaptation., , , , and . World Wide Web, 22 (4): 1427-1446 (2019)Learning Multi-Domain Adversarial Neural Networks for Text Classification., , , , , and . IEEE Access, (2019)A 2.3-ps RMS Resolution Time-to-Digital Converter Implemented in a Low-Cost Cyclone V FPGA., , , , , , , and . IEEE Trans. Instrum. Meas., 68 (10): 3647-3660 (2019)How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models., , and . CoRR, (2024)Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification., , , and . CoRR, (2021)Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation., , , and . KSEM, volume 12815 of Lecture Notes in Computer Science, page 639-655. Springer, (2021)Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition., , , , and . MuSe @ ACM Multimedia, page 101-109. ACM, (2022)