--- title: "Who cites Aspect Based Sentiment Analysis — 97 citing papers" description: "97 papers of the Elamur Research library cite «Aspect Based Sentiment Analysis with Gated Convolutional Networks», found in their…" canonical: "https://research.elamur.ai/free/en/papers/xue-2018-aspect-based-sentiment-analysis-gated/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/xue-2018-aspect-based-sentiment-analysis-gated/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Aspect Based Sentiment Analysis with Gated…](https://md.research.elamur.ai/free/en/papers/xue-2018-aspect-based-sentiment-analysis-gated/) / cited by # Who cites «Aspect Based Sentiment Analysis with Gated Convolutional Networks» 97 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · [← back to «Aspect Based Sentiment Analysis with Gated Convolutional Networks»](https://md.research.elamur.ai/free/en/papers/xue-2018-aspect-based-sentiment-analysis-gated/) 1. **[Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/zhang-2019-aspect-based-sentiment-classification-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chen Zhang, Qiuchi Li, Dawei Song*2019 · 808 citations* 2. **[Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 776 citations* 3. **[Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree](https://md.research.elamur.ai/free/en/papers/sun-2019-aspect-level-sentiment-analysis-convolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai Sun, Richong Zhang, Samuel Mensah, et al.*2019 · 499 citations* 4. **[Exploiting BERT for End-to-End Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/li-2019-exploiting-bert-end-end-aspect/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Xin Li, Lidong Bing, Wenxuan Zhang, et al.*2019 · 417 citations* 5. **[Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2020-dependency-graph-enhanced-dual-transformer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Tang, Donghong Ji, Chenliang Li, et al.*2020 · 397 citations* 6. **[A Unified Generative Framework for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Yan, Junqi Dai, Tuo Ji, et al.*2021 · 396 citations* 7. **[A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/jiang-2019-challenge-dataset-effective-models-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingnan Jiang, Lei Chen, Ruifeng Xu, et al.*2019 · 395 citations* 8. **[Position-Aware Tagging for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2020-position-aware-tagging-aspect-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lu Xu, Hao Li, Wei Lu, et al.*2020 · 370 citations* 9. **[Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/huang-2019-syntax-aware-aspect-level-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Binxuan Huang, Kathleen Carley*2019 · 351 citations* 10. **[Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification](https://md.research.elamur.ai/free/en/papers/hu-2019-open-domain-targeted-sentiment-analysis/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minghao Hu, Yuxing Peng, Zhen Huang, et al.*2019 · 288 citations* 11. **[Stance Detection in COVID-19 Tweets](https://md.research.elamur.ai/free/en/papers/glandt-2021-stance-detection-covid-19-tweets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.*2021 · 173 citations* 12. **[Arabic aspect based sentiment analysis using bidirectional GRU based models](https://md.research.elamur.ai/free/en/papers/m-abdelgwad-2021-arabic-aspect-based-sentiment-analysis/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba, et al.*2021 · 127 citations* 13. **[Infusing Knowledge from Wikipedia to Enhance Stance Detection](https://md.research.elamur.ai/free/en/papers/he-2022-infusing-knowledge-wikipedia-enhance-stance/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Zihao He, Negar Mokhberian, Kristina Lerman*2022 · 72 citations* 14. **[Target-Aware Data Augmentation for Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2021-target-aware-data-augmentation-stance/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yingjie Li, Cornelia Caragea*2021 · 56 citations* 15. **[A Multi-Task Learning Framework for Multi-Target Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2021-multi-task-learning-framework-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingjie Li, Cornelia Caragea*2021 · 31 citations* 16. [**Pushing the Limits of ChatGPT on NLP Tasks arXiv:2306.09719**Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-pushing-limits-chatgpt-nlp-tasks/) 17. **[A Challenge Dataset and Effective Models for Conversational Stance Detection](https://md.research.elamur.ai/free/en/papers/niu-2024-challenge-dataset-effective-models-conversational/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fuqiang Niu, Min Yang, Ang Li, et al.*2024 · 12 citations* 18. **[Interactive Learning Approach for Arabic Target-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/balla-2021-interactive-learning-approach-arabic-target/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Husamelddin Balla, Marisa Llorens Salvador, Sarah Jane Delany*2021* 79 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/xue-2018-aspect-based-sentiment-analysis-gated/) — Aspect Based Sentiment Analysis with Gated Convolutional Networks