---
title: "Who cites Automatic sense prediction for implicit…"
description: "142 papers of the Elamur Research library cite «Automatic sense prediction for implicit discourse relations in text», found in their bibliographies; the…"
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---
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# Who cites «Automatic sense prediction for implicit discourse relations in text»

142 papers of our library cite it (of the 140,884 whose bibliographies we read) · 73 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/pitler-2009-automatic-sense-prediction-implicit-discourse/)

1. [**Parsing Argumentation Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2017 · 613 citations*](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/)
2. [**Identifying Argumentative Discourse Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 517 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-identifying-argumentative-discourse-structures-persuasive/)
3. [**Recognizing Implicit Discourse Relations in the Penn Discourse Treebank**Ziheng Lin, Min-Yen Kan, Hwee Tou Ng*2009 · 412 citations*](https://md.research.elamur.ai/free/en/papers/lin-2009-recognizing-implicit-discourse-relations-penn/)
4. [**HILDA: A Discourse Parser Using Support Vector Machine Classification**Hugo Hernault, Helmut Prendinger, David A. du Verle, et al.*2010 · 353 citations*](https://md.research.elamur.ai/free/en/papers/hernault-2010-hilda-discourse-parser-support-vector/)
5. [**Automatically Evaluating Text Coherence Using Discourse Relations**Ziheng Lin, Hwee Tou Ng, Min-Yen Kan*2011 · 218 citations*](https://md.research.elamur.ai/free/en/papers/lin-2011-automatically-evaluating-text-coherence-discourse/)
6. [**The CoNLL-2015 Shared Task on Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2015 · 210 citations*](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/)
7. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/)
8. [**Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns**Attapol Rutherford, Nianwen Xue*2014 · 191 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/)
9. [**CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2016 · 187 citations*](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)
10. [**Improving Implicit Discourse Relation Recognition Through Feature Set Optimization**Joonsuk Park, Claire Cardie*2012 · 165 citations*](https://md.research.elamur.ai/free/en/papers/park-2012-improving-implicit-discourse-relation-recognition/)
11. [**Predicting Discourse Connectives for Implicit Discourse Relation Recognition**Zhi-Min Zhou, Yu Xu, Zheng-Yu Niu, et al.*2010 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2010-predicting-discourse-connectives-implicit-discourse/)
12. [**Implicit Discourse Relation Classification via Multi-Task Neural Networks**Yang Liu, Sujian Li, Xiaodong Zhang, et al.*2016 · 162 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-implicit-discourse-relation-classification-multi/)
13. [**Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition**Biao Zhang, Jinsong Su, Deyi Xiong, et al.*2015 · 161 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2015-shallow-convolutional-neural-network-implicit/)
14. [**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/)
15. [**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/)
16. [**Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives**Attapol Rutherford, Nianwen Xue*2015 · 142 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/)
17. [**Deep Enhanced Representation for Implicit Discourse Relation Recognition**Hongxiao Bai, Hai Zhao*2018 · 131 citations*](https://md.research.elamur.ai/free/en/papers/bai-2018-deep-enhanced-representation-implicit-discourse/)
18. [**Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention**Yang Liu, Sujian Li*2016 · 128 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-recognizing-implicit-discourse-relations-repeated/)
19. [**Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation**Or Biran, Kathleen McKeown*2013 · 121 citations*](https://md.research.elamur.ai/free/en/papers/biran-2013-aggregated-word-pair-features-implicit/)
20. [**Realization of Discourse Relations by Other Means: Alternative Lexicalizations**Rashmi Prasad, Aravind Joshi, Bonnie Webber*2010 · 120 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2010-realization-discourse-relations-other-means/)
21. [**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/)
22. [**A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 98 citations*](https://md.research.elamur.ai/free/en/papers/qin-2016-stacking-gated-neural-architecture-implicit/)
23. [**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/)
24. [**Comparing Word Representations for Implicit Discourse Relation Classification**Chloé Braud, Pascal Denis*2015 · 83 citations*](https://md.research.elamur.ai/free/en/papers/braud-2015-comparing-word-representations-implicit-discourse/)
25. [**A Refined End-to-End Discourse Parser**Jianxiang Wang, Man Lan*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-refined-end-end-discourse-parser/)
26. [**Annotation upon Annotation: Adding Signalling Information to a Corpus of Discourse Relations**Maite Taboada, Debopam Das*2013 · 81 citations*](https://md.research.elamur.ai/free/en/papers/taboada-2013-annotation-upon-annotation-adding-signalling/)
27. [**Shallow Discourse Parsing with Conditional Random Fields**Sucheta Ghosh, Richard Johansson, Giuseppe Riccardi, et al.*2011 · 79 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2011-shallow-discourse-parsing-conditional-random/)
28. [**A Systematic Study of Neural Discourse Models for Implicit Discourse Relation**Attapol Rutherford, Vera Demberg, Nianwen Xue*2017 · 78 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/)
29. [**Using entity features to classify implicit discourse relations**Annie Louis, Aravind Joshi, Rashmi Prasad, et al.*2010 · 73 citations*](https://md.research.elamur.ai/free/en/papers/louis-2010-entity-features-classify-implicit-discourse/)
30. [**Implicit Discourse Relation Classification: We Need to Talk about Evaluation**Najoung Kim, Song Feng, Chulaka Gunasekara, et al.*2020 · 69 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/)
31. [**Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives**Yudai Kishimoto, Yugo Murawaki, Sadao Kurohashi*2020 · 68 citations*](https://md.research.elamur.ai/free/en/papers/kishimoto-2020-adapting-bert-implicit-discourse-relation/)
32. [**Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition**Man Lan, Yu Xu, Zhengyu Niu*2013 · 68 citations*](https://md.research.elamur.ai/free/en/papers/lan-2013-leveraging-synthetic-discourse-data-multi/)
33. [**Multi-view and multi-task training of RST discourse parsers**Chloé Braud, Barbara Plank, Anders Søgaard*2016 · 67 citations*](https://md.research.elamur.ai/free/en/papers/braud-2016-multi-view-multi-task-training/)
34. [**Predicting the Presence of Discourse Connectives**Gary Patterson, Andrew Kehler*2013 · 61 citations*](https://md.research.elamur.ai/free/en/papers/patterson-2013-predicting-presence-discourse-connectives/)
35. [**Learning Connective-based Word Representations for Implicit Discourse Relation Identification**Chloé Braud, Pascal Denis*2016 · 56 citations*](https://md.research.elamur.ai/free/en/papers/braud-2016-learning-connective-based-word-representations/)
36. [**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/)
37. [**A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension**Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka*2010 · 52 citations*](https://md.research.elamur.ai/free/en/papers/hernault-2010-semi-supervised-approach-improve-classification/)
38. [**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/)
39. [**Cross-lingual RST Discourse Parsing**Chloé Braud, Maximin Coavoux, Anders Søgaard*2017 · 49 citations*](https://md.research.elamur.ai/free/en/papers/braud-2017-cross-lingual-rst-discourse-parsing/)
40. [**Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task**Jianxiang Wang, Man Lan*2016 · 47 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-two-end-end-shallow-discourse/)
41. [**Chinese Discourse Relation Recognition**Hen-Hsen Huang, Hsin-Hsi Chen*2011 · 47 citations*](https://md.research.elamur.ai/free/en/papers/huang-2011-chinese-discourse-relation-recognition/)
42. [**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/)
43. [**Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 46 citations*](https://md.research.elamur.ai/free/en/papers/qin-2016-implicit-discourse-relation-recognition-context/)
44. [**Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations**Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein*2015 · 46 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-closing-gap-domain-adaptation-explicit/)
45. [**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/)
46. [**Robust Non-Explicit Neural Discourse Parser in English and Chinese**Attapol Rutherford, Nianwen Xue*2016 · 41 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2016-robust-non-explicit-neural-discourse/)
47. [**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/)
48. [**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/)
49. [**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/)
50. [**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/)
51. [**RST Discourse Parsing with Second-Stage EDU-Level Pre-training**Nan Yu, Meishan Zhang, Guohong Fu, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-rst-discourse-parsing-second-stage/)
52. [**PDTB Discourse Parsing as a Tagging Task: The Two Taggers Approach**Or Biran, Kathleen McKeown*2015 · 32 citations*](https://md.research.elamur.ai/free/en/papers/biran-2015-pdtb-discourse-parsing-as-tagging/)
53. [**Reducing Sparsity Improves the Recognition of Implicit Discourse Relations**Junyi Jessy Li, Ani Nenkova*2014 · 32 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-reducing-sparsity-improves-recognition-implicit/)
54. [**Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation**Wei Liu, Michael Strube*2023 · 31 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-annotation-inspired-implicit-discourse-relation/)
55. [**Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction**Murathan Kurfalı, Robert Östling*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/kurfali-2021-let-s-be-explicit-about/)
56. [**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/)
57. [**Variational Neural Discourse Relation Recognizer**Biao Zhang, Deyi Xiong, Jinsong Su, et al.*2016 · 30 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-discourse-relation-recognizer/)
58. [**Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition**Yuxin Jiang, Linhan Zhang, Wei Wang*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-global-local-hierarchy-aware-contrastive/)
59. [**Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system**Junyi Jessy Li, Marine Carpuat, Ani Nenkova*2014 · 28 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-cross-lingual-discourse-relation-analysis/)
60. [**Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition**Yingxue Zhang, Fandong Meng, Peng Li, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-context-tracking-network-graph-based/)
61. [**A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations**Samuel Rönnqvist, Niko Schenk, Christian Chiarcos*2017 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ronnqvist-2017-recurrent-neural-model-attention-recognition/)
62. [**The Effects of Discourse Connectives Prediction on Implicit Discourse Relation Recognition**Zhi Min Zhou, Man Lan, Zheng Yu Niu, et al.*2010 · 26 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2010-effects-discourse-connectives-prediction-implicit/)
63. [**Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition**Wei Xiang, Bang Wang, Lu Dai, et al.*2022 · 25 citations*](https://md.research.elamur.ai/free/en/papers/xiang-2022-encoding-fusing-semantic-connection-linguistic/)
64. [**On the Need of Cross Validation for Discourse Relation Classification**Wei Shi, Vera Demberg*2017 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shi-2017-need-cross-validation-discourse-relation/)
65. [**The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models**Evgeny Stepanov, Giuseppe Riccardi, Ali Orkan Bayer*2015 · 25 citations*](https://md.research.elamur.ai/free/en/papers/stepanov-2015-unitn-discourse-parser-conll-2015/)
66. [**Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition**Haodong Zhao, Ruifang He, Mengnan Xiao, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-infusing-hierarchical-guidance-into-prompt/)
67. [**Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse Relations**Yisong Miao, Hongfu Liu, Wenqiang Lei, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/miao-2024-discursive-socratic-questioning-evaluating-faithfulness/)
68. [**Shallow Discourse Parsing Using Constituent Parsing Tree**Changge Chen, Peilu Wang, Hai Zhao*2015 · 15 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-shallow-discourse-parsing-constituent-parsing/)
69. [**Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification**Chloé Braud, Pascal Denis*2014 · 15 citations*](https://md.research.elamur.ai/free/en/papers/braud-2014-combining-natural-artificial-examples-improve/)
70. [**Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification**Wei Shi, Frances Yung, Vera Demberg*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-acquiring-annotated-data-cross-lingual/)
71. [**Adapting Event Embedding for Implicit Discourse Relation Recognition**Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, et al.*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/pacheco-2016-adapting-event-embedding-implicit-discourse/)
72. [**Modelling Discourse Relations for Arabic**Amal Al-Saif, Katja Markert*2011 · 7 citations*](https://md.research.elamur.ai/free/en/papers/saif-2011-modelling-discourse-relations-arabic/)
73. [**Modelling the Usage of Discourse Connectives as Rational Speech Acts**Frances Yung, Kevin Duh, Taku Komura, et al.*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yung-2016-modelling-usage-discourse-connectives-as/)

69 more papers of our library cite it; they have no page here yet.

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