--- title: "Who cites Implicit Discourse Relation Classification via…" description: "54 papers of the Elamur Research library cite «Implicit Discourse Relation Classification via Multi-Task Neural Networks», found in their bibliographies…" canonical: "https://research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Implicit Discourse Relation Classification via…](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/) / cited by # Who cites «Implicit Discourse Relation Classification via Multi-Task Neural Networks» 54 papers of our library cite it (of the 140,884 whose bibliographies we read) · 24 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/) 1. [**Natural Language Inference by Tree-Based Convolution and Heuristic Matching**Lili Mou, Rui Men, Ge Li, et al.*2016 · 425 citations*](https://md.research.elamur.ai/free/en/papers/mou-2016-natural-language-inference-tree-based/) 2. [**An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis**Ruidan He, Wee Sun Lee, Hwee Tou Ng, et al.*2019 · 348 citations*](https://md.research.elamur.ai/free/en/papers/he-2019-interactive-multi-task-learning-network/) 3. [**Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 144 citations*](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/) 4. [**Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification**Man Lan, Jianxiang Wang, Yuanbin Wu, et al.*2017 · 142 citations*](https://md.research.elamur.ai/free/en/papers/lan-2017-multi-task-attention-based-neural/) 5. [**Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network**Jifan Chen, Qi Zhang, Pengfei Liu, et al.*2016 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/) 6. [**Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph**Zeyu Dai, Ruihong Huang*2018 · 95 citations*](https://md.research.elamur.ai/free/en/papers/dai-2018-improving-implicit-discourse-relation-classification/) 7. [**Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings**Linh The Nguyen, Linh Van Ngo, Khoat Than, et al.*2019 · 52 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2019-employing-correspondence-relations-connectives-identify/) 8. [**Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning**Fengyu Guo, Ruifang He, Di Jin, et al.*2018 · 49 citations*](https://md.research.elamur.ai/free/en/papers/guo-2018-implicit-discourse-relation-recognition-neural/) 9. [**A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing**Zeyu Dai, Ruihong Huang*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/) 10. [**DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition**Chunkit Chan, Xin Liu, Jiayang Cheng, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-discoprompt-path-prediction-prompt-tuning/) 11. [**Using active learning to expand training data for implicit discourse relation recognition**Yang Xu, Yu Hong, Huibin Ruan, et al.*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-active-learning-expand-training-data/) 12. [**TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition**Ruifang He, Jian Wang, Fengyu Guo, et al.*2020 · 41 citations*](https://md.research.elamur.ai/free/en/papers/he-2020-transs-driven-joint-learning-architecture/) 13. [**Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis**Bita Nejat, Giuseppe Carenini, Raymond Ng*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/nejat-2017-exploring-joint-neural-model-sentence/) 14. [**Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings**Todor Mihaylov, Anette Frank*2016 · 40 citations*](https://md.research.elamur.ai/free/en/papers/mihaylov-2016-discourse-relation-sense-classification-cross/) 15. [**Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks**Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty*2019 · 39 citations*](https://md.research.elamur.ai/free/en/papers/varia-2019-discourse-relation-prediction-revisiting-word/) 16. [**Automatic Prediction of Discourse Connectives**Eric Malmi, Daniele Pighin, Sebastian Krause, et al.*2018 · 38 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2018-automatic-prediction-discourse-connectives/) 17. [**Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition**Hao Zhou, Man Lan, Yuanbin Wu, et al.*2022 · 37 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2022-prompt-based-connective-prediction-method/) 18. [**Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification**Wei Shi, Vera Demberg*2019 · 36 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-learning-explicitate-connectives-seq2seq-network/) 19. [**Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition**Huibin Ruan, Yu Hong, Yang Xu, et al.*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2020-interactively-propagative-attention-learning-implicit/) 20. [**Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition**Changxing Wu, Xiaodong Shi, Yidong Chen, et al.*2016 · 34 citations*](https://md.research.elamur.ai/free/en/papers/wu-2016-bilingually-constrained-synthetic-data-implicit/) 21. [**Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese**Sheng Xu, Peifeng Li, Fang Kong, et al.*2019 · 31 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-topic-tensor-network-implicit-discourse/) 22. [**Where Are We in Discourse Relation Recognition?**Katherine Atwell, Junyi Jessy Li, Malihe Alikhani*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/atwell-2021-where-are-we-discourse-relation/) 23. [**CVAE-based Re-anchoring for Implicit Discourse Relation Classification**Zujun Dou, Yu Hong, Yu Sun, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/dou-2021-cvae-based-re-anchoring-implicit/) 24. [**Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing**René Knaebel, Manfred Stede*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/knaebel-2020-contextualized-embeddings-connective-disambiguation-shallow/) 30 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/) — Implicit Discourse Relation Classification via Multi-Task Neural Networks