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Effective Attention Modeling for Aspect-Level Sentiment Classification.

, , , and . COLING, page 1121-1131. Association for Computational Linguistics, (2018)

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Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification., , , , , and . CoRR, (2020)Exploiting Document Knowledge for Aspect-level Sentiment Classification., , , and . ACL (2), page 579-585. Association for Computational Linguistics, (2018)On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation., , , , , , , , and . ACL/IJCNLP (1), page 2208-2222. Association for Computational Linguistics, (2021)Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training., , , , , and . EMNLP (1), page 7386-7399. Association for Computational Linguistics, (2020)Overview of Argumentative Text Understanding for AI Debater Challenge., , , , , , , , , and 3 other author(s). NLPCC (2), volume 13029 of Lecture Notes in Computer Science, page 548-568. Springer, (2021)Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning., , , and . COLING, page 6916-6926. International Committee on Computational Linguistics, (2022)Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation., , , and . ACL (Findings), page 1672-1681. Association for Computational Linguistics, (2022)An Unsupervised Neural Attention Model for Aspect Extraction., , , and . ACL (1), page 388-397. Association for Computational Linguistics, (2017)Bootstrapped Unsupervised Sentence Representation Learning., , , , and . ACL/IJCNLP (1), page 5168-5180. Association for Computational Linguistics, (2021)Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model., , , , , and . CoRR, (2020)