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Different Probabilistic Language Models for Natural Language Generation: Comparison and Combination., and . J. Inf. Sci. Eng., 11 (1): 89-108 (1995)Temporal Knowledge Management in IB-TEMPLOG., and . J. Inf. Sci. Eng., 7 (3): 437-457 (1991)Combining and learning word embedding with WordNet for semantic relatedness and similarity measurement., , , , and . J. Assoc. Inf. Sci. Technol., 71 (6): 657-670 (2020)Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations., , and . CoRR, (2023)ContributionSum: Generating Disentangled Contributions for Scientific Papers., , , and . CIKM, page 5351-5355. ACM, (2023)NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge., , and . SemEval@NAACL-HLT, page 1027-1033. Association for Computational Linguistics, (2018)NTU_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach., , and . SemEval@COLING, page 2105-2110. International Committee for Computational Linguistics, (2020)Identifying linguistic segmentations in Chinese spoken dialogue., and . EUROSPEECH, page 2003-2006. ISCA, (1999)A study of learning a merge model for multilingual information retrieval., , and . SIGIR, page 195-202. ACM, (2008)Exploring Ensemble of Models in Taxonomy-based Cross-Domain Sentiment Classification., , , and . CIKM, page 1279-1288. ACM, (2014)