🧑‍🔬 Who cites Longbiao Wang

26 citations of their works from 26 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← Longbiao Wang

1. Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Linh The Nguyen, Linh Van Ngo, Khoat Than, et al.2019 · 52 citations
2. A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Zeyu Dai, Ruihong Huang2019 · 46 citations
3. A Survey of Implicit Discourse Relation RecognitionACM Computing SurveysWei Xiang, Bang Wang2022 · 43 citations
4. Using active learning to expand training data for implicit discourse relation recognitionConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Xu, Yu Hong, Huibin Ruan, et al.2018 · 42 citations
5. Interactively-Propagative Attention Learning for Implicit Discourse Relation RecognitionInternational Conference on Computational Linguistics (COLING)Huibin Ruan, Yu Hong, Yang Xu, et al.2020 · 35 citations
6. Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Liu, Michael Strube2023 · 31 citations
7. Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Feng Jiang, Yaxin Fan, Xiaomin Chu, et al.2021 · 30 citations
8. Implicit Discourse Relation Identification for Open-domain DialoguesAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, et al.2019 · 26 citations
9. Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation RecognitionFindings of the Association for Computational LinguisticsWei Xiang, Bang Wang, Lu Dai, et al.2022 · 25 citations
10. Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Haodong Zhao, Ruifang He, Mengnan Xiao, et al.2023 · 19 citations
11. MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment AnalysisFindings of the Association for Computational LinguisticsXingle Xu, YongKang Liu, Dexian Cai, et al.2026 · 1 citation
12. Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and DistillationFindings of the Association for Computational LinguisticsHaonan Shangguan, Xiaocui Yang, Shi Feng, et al.2026 · 1 citation

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