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# Who cites «Automatic sense prediction for implicit discourse relations in text»

141 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/disc-2009-pitler-automatic-sense-prediction-implicit-discourse/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/disc-2009-pitler-automatic-sense-prediction-implicit-discourse-2/)

1. [Detecting Potentially Under-annotated Explicit Discourse Connectives in the Penn Discourse Treebank (PDTB-3) with LLMs](https://aclanthology.org/2026.lrec-1.158/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Wugnectives: Novel Entity Inferences of Language Models from Discourse Connectives](https://aclanthology.org/2026.eacl-long.289/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Discursive Circuits: How Do Language Models Understand Discourse Relations?](https://aclanthology.org/2025.emnlp-main.1657/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
4. [On the Role of Context for Discourse Relation Classification in Scientific Writing](https://aclanthology.org/2025.codi-1.8/) *— 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)*
5. [Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models'' Understanding of Discourse Relations](https://aclanthology.org/2024.acl-long.341/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Global and Local Hierarchical Prompt Tuning Framework for Multi-level Implicit Discourse Relation Recognition](https://aclanthology.org/2024.lrec-main.686/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
7. [Zero-shot Learning for Multilingual Discourse Relation Classification](https://aclanthology.org/2024.lrec-main.1553/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
8. [Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation](https://aclanthology.org/2023.acl-long.874/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition](https://aclanthology.org/2023.findings-acl.510/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
10. [Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition](https://aclanthology.org/2023.acl-long.357/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [A Survey of Implicit Discourse Relation Recognition](https://arxiv.org/abs/2203.02982) *— 2022 · arXiv:2203.02982*
12. [Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition](https://aclanthology.org/2022.findings-acl.256/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
13. [RST Discourse Parsing with Second-Stage EDU-Level Pre-training](https://aclanthology.org/2022.acl-long.294/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition](https://aclanthology.org/2021.naacl-main.126/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
15. [Let''s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction](https://aclanthology.org/2021.unimplicit-1.1/) *— 2021 · Proceedings of the 1st Workshop on Understanding Implicit and Underspecified Language*
16. [A Neural Approach to Discourse Relation Signal Detection](https://aclanthology.org/2020.dnd-11.5/) *— 2020*
17. [Adapting BERT to Implicit Discourse Relation Classification with a Focus on Discourse Connectives](https://aclanthology.org/2020.lrec-1.145/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
18. [Implicit Discourse Relation Classification: We Need to Talk about Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/kim-2020-implicit-discourse-relation-classification-we/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
19. [Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition](https://aclanthology.org/2020.coling-main.282/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
20. [LangResearchLab_NC at FinCausal 2020, Task 1: A Knowledge Induced Neural Net for Causality Detection](https://aclanthology.org/2020.fnp-1.4/) *— 2020 · Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation*
21. [TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition](https://aclanthology.org/2020.acl-main.14/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
22. [A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing](https://aclanthology.org/D19-1295/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
23. [Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification](https://aclanthology.org/W19-2703/) *— 2019 · Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019*
24. [Composition of Sentence Embeddings: Lessons from Statistical Relational Learning](https://aclanthology.org/S19-1004/) *— 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)*
25. [Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks](https://aclanthology.org/W19-5951/) *— 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue*
26. [Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings](https://aclanthology.org/P19-1411/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
27. [Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese](https://aclanthology.org/P19-1058/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
28. [A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification](https://aclanthology.org/C18-1049/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
29. [Attention for Implicit Discourse Relation Recognition](https://aclanthology.org/L18-1306/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
30. [Automatic Prediction of Discourse Connectives](https://aclanthology.org/L18-1260/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
31. [Causal Explanation Analysis on Social Media](https://aclanthology.org/D18-1372/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
32. [ChangeMyView Through Concessions: Do Concessions Increase Persuasion?](https://journals.uic.edu/ojs/index.php/dad/article/view/10736) *— 2018 · Dialogue & Discourse*
33. [Deep Enhanced Representation for Implicit Discourse Relation Recognition](https://aclanthology.org/C18-1048/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
34. [Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning](https://aclanthology.org/C18-1046/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
35. [Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph](https://aclanthology.org/N18-1013/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
36. [Using context to identify the language of face-saving](https://aclanthology.org/W18-5214/) *— 2018 · Proceedings of the 5th Workshop on Argument Mining*
37. [A Psycholinguistic Model for the Marking of Discourse Relations](https://aclanthology.org/2017.dnd-8.12/) *— 2017*
38. [A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations](https://aclanthology.org/P17-2040/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
39. [A Systematic Study of Neural Discourse Models for Implicit Discourse Relation](https://aclanthology.org/E17-1027/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
40. [Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification](https://aclanthology.org/P17-1093/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [Cross-lingual RST Discourse Parsing](https://aclanthology.org/E17-1028/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
42. [Event-Related Features in Feedforward Neural Networks Contribute to Identifying Causal Relations in Discourse](https://aclanthology.org/W17-0903/) *— 2017 · Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics*
43. [Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification](https://aclanthology.org/D17-1134/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
44. [On the Need of Cross Validation for Discourse Relation Classification](https://aclanthology.org/E17-2024/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
45. [Recognizing Counterfactual Thinking in Social Media Texts](https://aclanthology.org/P17-2103/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
46. [Role Semantics for Better Models of Implicit Discourse Relations](https://aclanthology.org/W17-6934/) *— 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Short papers*
47. [Signalling Implicit Relations: A PDTB - RST Comparison](https://journals.uic.edu/ojs/index.php/dad/article/view/10787) *— 2017 · Dialogue & Discourse*
48. [Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification](https://aclanthology.org/I17-1050/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
49. [A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models](https://aclanthology.org/N16-1037/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
50. [A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification](https://aclanthology.org/D16-1246/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
51. [Adapting Event Embedding for Implicit Discourse Relation Recognition](https://aclanthology.org/K16-2019/) *— 2016 · Proceedings of the CoNLL-16 shared task*
52. [Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition](https://aclanthology.org/D16-1253/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
53. [CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing](https://md.mova.elamur.ai/free/en/docs/papers/xue-2016-conll-2016-shared-task-multilingual/) *— our card · 2016 · Proceedings of the CoNLL-16 shared task*
54. [Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling](https://aclanthology.org/K16-2005/) *— 2016 · Proceedings of the CoNLL-16 shared task*
55. [Fine-Grained Chinese Discourse Relation Labelling](https://aclanthology.org/L16-1164/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
56. [Identifying Causal Relations Using Parallel Wikipedia Articles](https://aclanthology.org/P16-1135/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Implicit Discourse Relation Classification via Multi-Task Neural Networks](https://arxiv.org/abs/1603.02776) *— 2016 · arXiv:1603.02776*
58. [Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network](https://aclanthology.org/P16-1163/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings](https://aclanthology.org/C16-1180/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
60. [Learning Connective-based Word Representations for Implicit Discourse Relation Identification](https://aclanthology.org/D16-1020/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
61. [Modelling the Usage of Discourse Connectives as Rational Speech Acts](https://md.mova.elamur.ai/free/en/docs/papers/yung-2016-modelling-usage-discourse-connectives-as/) *— our card · 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning*
62. [Multi-view and multi-task training of RST discourse parsers](https://aclanthology.org/C16-1179/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
63. [Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention](https://aclanthology.org/D16-1130/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
64. [Robust Non-Explicit Neural Discourse Parser in English and Chinese](https://aclanthology.org/K16-2007/) *— 2016 · Proceedings of the CoNLL-16 shared task*
65. [The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection](https://aclanthology.org/N16-1141/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
66. [The Virginia Tech System at CoNLL-2016 Shared Task on Shallow Discourse Parsing](https://aclanthology.org/K16-2016/) *— 2016 · Proceedings of the CoNLL-16 shared task*
67. [Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task](https://aclanthology.org/K16-2004/) *— 2016 · Proceedings of the CoNLL-16 shared task*
68. [Variational Neural Discourse Relation Recognizer](https://aclanthology.org/D16-1037/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
69. [A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition](https://aclanthology.org/K15-2006/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
70. [A Refined End-to-End Discourse Parser](https://aclanthology.org/K15-2002/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
71. [A Shallow Discourse Parsing System Based On Maximum Entropy Model](https://aclanthology.org/K15-2013/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
72. [Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations](https://aclanthology.org/D15-1264/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
73. [Comparing Word Representations for Implicit Discourse Relation Classification](https://aclanthology.org/D15-1262/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
74. [Crosslingual Annotation and Analysis of Implicit Discourse Connectives for Machine Translation](https://aclanthology.org/W15-2519/) *— 2015 · Proceedings of the Second Workshop on Discourse in Machine Translation*
75. [Discourse Relation Recognition by Comparing Various Units of Sentence Expression with Recursive Neural Network](https://aclanthology.org/Y15-1008/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation*
76. [Extracting Argument and Domain Words for Identifying Argument Components in Texts](https://aclanthology.org/W15-0503/) *— 2015 · Proceedings of the 2nd Workshop on Argumentation Mining*
77. [Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives](https://aclanthology.org/N15-1081/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
78. [One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations](https://aclanthology.org/Q15-1024/) *— 2015*
79. [PDTB Discourse Parsing as a Tagging Task: The Two Taggers Approach](https://aclanthology.org/W15-4612/) *— 2015 · Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
80. [Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition](https://aclanthology.org/D15-1266/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
81. [Shallow Discourse Parsing Using Constituent Parsing Tree](https://aclanthology.org/K15-2005/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
82. [The CLaC Discourse Parser at CoNLL-2015](https://aclanthology.org/K15-2008/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
83. [The CoNLL-2015 Shared Task on Shallow Discourse Parsing](https://aclanthology.org/K15-2001/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
84. [The DCU Discourse Parser: A Sense Classification Task](https://aclanthology.org/K15-2011/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
85. [The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models](https://aclanthology.org/K15-2003/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task*
86. [Uniform Surprisal at the Level of Discourse Relations: Negation Markers and Discourse Connective Omission](https://aclanthology.org/W15-0117/) *— 2015 · Proceedings of the 11th International Conference on Computational Semantics*
87. [Addressing Class Imbalance for Improved Recognition of Implicit Discourse Relations](https://aclanthology.org/W14-4320/) *— 2014 · Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)*
88. [Building Chinese Discourse Corpus with Connective-driven Dependency Tree Structure](https://aclanthology.org/D14-1224/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
89. [Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification](https://aclanthology.org/C14-1160/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
90. [Combining Word Patterns and Discourse Markers for Paradigmatic Relation Classification](https://aclanthology.org/P14-2086/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
91. [Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification system](https://aclanthology.org/C14-1055/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
92. [Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns](https://aclanthology.org/E14-1068/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
93. [Identifier les relations discursives implicites en combinant données naturelles et données artificielles Identifying implicit discourse relations by combining natural and artificial data](https://aclanthology.org/2014.tal-1.5/) *— 2014*
94. [In-depth Exploitation of Noun and Verb Semantics to Identify Causation in Verb-Noun Pairs](https://aclanthology.org/W14-4322/) *— 2014 · Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)*
95. [Rapid Development of a Corpus with Discourse Annotations using Two-stage Crowdsourcing](https://aclanthology.org/C14-1027/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
96. [Recognizing Causality in Verb-Noun Pairs via Noun and Verb Semantics](https://aclanthology.org/W14-0707/) *— 2014 · Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL)*
97. [Reducing Sparsity Improves the Recognition of Implicit Discourse Relations](https://aclanthology.org/W14-4327/) *— 2014 · Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)*
98. [Text-level Discourse Dependency Parsing](https://aclanthology.org/P14-1003/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Towards Automatic Detection of Narrative Structure](https://aclanthology.org/L14-1108/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
100. [Towards a discourse relation-aware approach for Chinese-English machine translation](https://aclanthology.org/P14-3003/) *— 2014 · Proceedings of the ACL 2014 Student Research Workshop*

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