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Learning refined features for open-world text classification with class description and commonsense knowledge.

, , , , and . World Wide Web (WWW), 26 (2): 637-660 (March 2023)

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Improving aspect-based sentiment analysis via aligning aspect embedding., , , , , and . Neurocomputing, (2020)Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation., , , and . CoRR, (2024)Detecting Dependency-Related Sentiment Features for Aspect-Level Sentiment Classification., , , , and . IEEE Trans. Affect. Comput., 14 (1): 196-210 (January 2023)Event Temporal Relation Extraction with Bayesian Translational Model., , and . EACL, page 1117-1130. Association for Computational Linguistics, (2023)Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks., , and . EMNLP/IJCNLP (1), page 3424-3429. Association for Computational Linguistics, (2019)Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation., , , , and . EMNLP (Findings), page 2377-2389. Association for Computational Linguistics, (2022)A new samples selecting method based on K nearest neighbors., , , , , , and . BigComp, page 457-462. IEEE, (2017)Learning refined features for open-world text classification with class description and commonsense knowledge., , , , and . World Wide Web (WWW), 26 (2): 637-660 (March 2023)Extracting Event Temporal Relations via Hyperbolic Geometry., , and . EMNLP (1), page 8065-8077. Association for Computational Linguistics, (2021)Learning Refined Features for Open-World Text Classification., , , , , , and . APWeb/WAIM (1), volume 12858 of Lecture Notes in Computer Science, page 367-381. Springer, (2021)