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The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification

What it is about

The third DISRPT task extends the 2019 and 2021 editions. It covers 26 corpora in four frameworks (RST, SDRT, PDTB and a new dependency framework, DEP) and 13 languages, of which 10 corpora are new. Three tasks are set: EDU segmentation (a BIO-style boundary label per token), connective detection (B and I labels per token), and relation classification (a label for a pair of attached units). Two tracks are given: treebanked input, with gold or Stanza sentence splits, and plain tokens. Three teams took part. MELODI ranked first on segmentation, using a multilingual transformer with an added layer, DisCut, and used Trankit sentence splits for the plain track. HITS ranked first on connective detection and relation classification, using fine-tuned BERT-family models with a BiLSTM-CRF head and adversarial training. DiscoFLAN fine-tuned Flan-T5 to generate the relation label. The authors report that connective detection, which scored above 90 on earlier English and Turkish corpora, now averages under 80 on the new out-of-domain sets. On the plain track, with Trankit sentence splits, the mean segmentation score is close to the treebanked track, though some corpora with many sentence-splitting errors (such as the Chinese and Spanish parallel corpora) remain below 90. The relation labels, 163 across corpora, do not converge. The sentence-as-EDU baseline shows how much of the task is intra-sentential segmentation.

Ideas

For Mova

The chapters are 36. Discourse relations and coherence (relation labels and direction), 24. Coordination and subordination (clause boundaries) and 38. Dialogue, discourse markers and reported speech. The code is en/src/parse.rs for the tree-based segmenter, en/src/tok.rs for tokens, and prag/src/frames.rs for relation labels. The measure: segmentation F1 against the sentence-as-EDU baseline on treebanked and plain input, run twice, plus the connective detection F1 on out-of-domain text. Evaluation only for the restricted corpora.

Topics: Discourse analysis

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.18653/v1/2023.disrpt-1.1

@inproceedings{braud2023disrpt,
  title = {{The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification}},
  author = {Braud, Chloé and Liu, Yang Janet and Metheniti, Eleni and Muller, Philippe and Rivière, Laura and Rutherford, Attapol and Zeldes, Amir},
  booktitle = {Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)},
  year = {2023},
  doi = {10.18653/v1/2023.disrpt-1.1},
  url = {https://doi.org/10.18653/v1/2023.disrpt-1.1}
}

References

83 references, 10 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. Paula Christina Figueira Cardoso, Erick Galani Maziero, Maria Lucía del Rosario Castro Jorge, M. Eloize, R. Kibar Aji Seno, Ariani Di Felippo, Lucia Helena Machado Rino, Maria das Graças Volpe Nunes, and Thiago Alexandre Salgueiro Pardo. 2011. CST-News - a discourse-annotated corpus for single and multi-document summarization of news texts in Brazilian Portuguese. In Proceedings of the 3rd RST Brazilian Meeting, pages 88–105, Cuiabá, Brazil. find
  2. Stergos Afantenos, Nicholas Asher, Farah Benamara, Myriam Bras, Cécile Fabre, Mai Ho-dac, Anne Le Draoulec, Philippe Muller, Marie-Paule Péry-Woodley, Laurent Prévot, Josette Rebeyrolles, Ludovic Tanguy, Marianne Vergez-Couret, and Laure Vieu. 2012. An empirical resource for discovering cognitive principles of discourse organisation: the ANNODIS corpus. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12), pages 2727–2734, Istanbul, Turkey. European Language Resources Association (ELRA). find
  3. Lynn Carlson and Daniel Marcu. 2001. Discourse tagging reference manual. Technical report, University of Southern California Information Sciences Institute. find
  4. Nicholas Asher, Julie Hunter, Mathieu Morey, Benamara Farah, and Stergos Afantenos. 2016. Discourse structure and dialogue acts in multiparty dialogue: the STAC corpus. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16), pages 2721–2727, Portorož, Slovenia. European Language Resources Association (ELRA). find our card
  5. Lynn Carlson, Daniel Marcu, and Mary Ellen Okurovsky. 2001. Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory. In Proceedings of the Second SIGdial Workshop on Discourse and Dialogue. find our card
  6. Jiaao Chen and Diyi Yang. 2021. Structure-aware abstractive conversation summarization via discourse and action graphs. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1380–1391, Online. Association for Computational Linguistics. find
  7. Nicholas Asher and Alex Lascarides. 2003. Logics of Conversation. Cambridge University Press, Cambridge. find
  8. Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, and Malihe Alikhani. 2022. The change that matters in discourse parsing: Estimating the impact of domain shift on parser error. In Findings of the Association for Computational Linguistics: ACL 2022, pages 824–845, Dublin, Ireland. Association for Computational Linguistics. find
  9. Yi Cheng and Sujian Li. 2019. Zero-shot Chinese discourse dependency parsing via cross-lingual mapping. In Proceedings of the 1st Workshop on Discourse Structure in Neural NLG, pages 24–29, Tokyo, Japan. Association for Computational Linguistics. find
  10. Parminder Bhatia, Yangfeng Ji, and Jacob Eisenstein. 2015. Better document-level sentiment analysis from RST discourse parsing. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2212–2218, Lisbon, Portugal. Association for Computational Linguistics. find
  11. Ta-Chung Chi and Alexander Rudnicky. 2022. Structured dialogue discourse parsing. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 325–335, Edinburgh, UK. Association for Computational Linguistics. find
  12. Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022. Scaling instruction-finetuned language models. Processing (Volume 1: Long Papers), pages 584– 593, Taipei, Taiwan. Asian Federation of Natural Language Processing. find
  13. Michel Généreux, Iris Hendrickx, and Amália Mendes. 2012. Introducing the reference corpus of contemporary Portuguese online. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12), pages 2237–2244, Istanbul, Turkey. European Language Resources Association (ELRA). find
  14. Luke Gessler, Shabnam Behzad, Yang Janet Liu, Siyao Peng, Yilun Zhu, and Amir Zeldes. 2021. Dis-CoDisCo at the DISRPT2021 shared task: A system for discourse segmentation, classification, and connective detection. In Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021), pages 51–62, Punta Cana, Dominican Republic. Association for Computational Linguistics. find
  15. Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020. Unsupervised cross-lingual representation learning at scale. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8440– 8451, Online. Association for Computational Linguistics. ↗
  16. Freya Hewett and Manfred Stede. 2022. Extractive summarisation for German-language data: A text-level approach with discourse features. In Proceedings of the 29th International Conference on Computational Linguistics, pages 756–765, Gyeongju, Republic of Korea. International Committee on Computational Linguistics. find
  17. Iria da Cunha, Juan-Manuel Torres-Moreno, and Gerardo Sierra. 2011. On the development of the RST Spanish treebank. In Proceedings of the 5th Linguistic Annotation Workshop, pages 1–10, Portland, Oregon, USA. Association for Computational Linguistics. find
  18. Tsutomu Hirao, Yasuhisa Yoshida, Masaaki Nishino, Norihito Yasuda, and Masaaki Nagata. 2013. Single-document summarization as a tree knapsack problem. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1515–1520, Seattle, Washington, USA. Association for Computational Linguistics. ↗
  19. Nicolas Devatine, Philippe Muller, and Chloé Braud. 2022. Predicting political orientation in news with latent discourse structure to improve bias understanding. In Proceedings of the 3rd Workshop on Computational Approaches to Discourse, pages 77–85, Gyeongju, Republic of Korea and Online. International Conference on Computational Linguistics. find
  20. Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019. Parameter-efficient transfer learning for NLP. In International Conference on Machine Learning, pages 2790–2799. PMLR. find
  21. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 4171–4186, Minneapolis, Minnesota. Association for Computational Linguistics. ↗
  22. Zhiheng Huang, Wei Xu, and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991. ↗
  23. Patrick Huber and Giuseppe Carenini. 2020. From sentiment annotations to sentiment prediction through discourse augmentation. In Proceedings of the 28th International Conference on Computational Linguistics, pages 185–197, Barcelona, Spain (Online). International Committee on Computational Linguistics. find
  24. Yaxin Fan, Peifeng Li, Fang Kong, and Qiaoming Zhu. 2022. A distance-aware multi-task framework for conversational discourse parsing. In Proceedings of the 29th International Conference on Computational Linguistics, pages 912–921, Gyeongju, Republic of Korea. International Committee on Computational Linguistics. find
  25. Mikel Iruskieta, María Jesús Aranzabe, Arantza Diaz de Ilarraza, Itziar Gonzalez-Dios, Mikel Lersundi, and Oier Lopez de Lacalle. 2013. The RST Basque TreeBank: An online search interface to check rhetorical relations. In 4th Workshop on RST and Discourse Studies, pages 40–49, Fortaleza, Brasil. find
  26. Vanessa Wei Feng. 2015. RST-Style Discourse Parsing and Its Applications in Discourse Analysis. Ph.D. thesis, University of Toronto. find
  27. Elisa Ferracane, Su Wang, and Raymond Mooney. 2017. Leveraging discourse information effectively for authorship attribution. In Proceedings of the Eighth International Joint Conference on Natural Language Mikel Iruskieta, Iria Cunha, and Maite Taboada. 2015. A qualitative comparison method for rhetorical structures: Identifying different discourse structures in multilingual corpora. Language Resources and Evaluation, 49(2):263–309. find
  28. Yang Janet Liu and Amir Zeldes. 2023. Why can’t discourse parsing generalize? a thorough investigation of the impact of data diversity. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3112– 3130, Dubrovnik, Croatia. Association for Computational Linguistics. find
  29. Anders Johannsen and Anders Søgaard. 2013. Disambiguating explicit discourse connectives without oracles. In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 997–1001, Nagoya, Japan. Asian Federation of Natural Language Processing. find
  30. Zhengyuan Liu and Nancy Chen. 2021. Improving multi-party dialogue discourse parsing via domain integration. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse, pages 122– 127, Punta Cana, Dominican Republic and Online. Association for Computational Linguistics. find
  31. Shafiq Joty, Francisco Guzmán, Lluís Màrquez, and Preslav Nakov. 2017. Discourse structure in machine translation evaluation. Computational Linguistics, 43(4):683–722. find
  32. Zhengyuan Liu, Ke Shi, and Nancy Chen. 2020. Multilingual neural RST discourse parsing. In Proceedings of the 28th International Conference on Computational Linguistics, pages 6730–6738, Barcelona, Spain (Online). International Committee on Computational Linguistics. find
  33. Morteza Kamaladdini Ezzabady, Philippe Muller, and Chloé Braud. 2021. Multi-lingual discourse segmentation and connective identification: MELODI at disrpt2021. In Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DIS-RPT 2021), pages 22–32, Punta Cana, Dominican Republic. Association for Computational Linguistics. find
  34. Zhengyuan Liu, Ke Shi, and Nancy Chen. 2021. DMRST: A joint framework for document-level multilingual RST discourse segmentation and parsing. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse, pages 154–164, Punta Cana, Dominican Republic and Online. Association for Computational Linguistics. find
  35. Hamid Karimi and Jiliang Tang. 2019. Learning hierarchical discourse-level structure for fake news detection. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 3432–3442, Minneapolis, Minnesota. Association for Computational Linguistics. find
  36. Wanqiu Long and Bonnie Webber. 2022. Facilitating contrastive learning of discourse relational senses by exploiting the hierarchy of sense relations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10704– 10716, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. find
  37. Najoung Kim, Song Feng, Chulaka Gunasekara, and Luis Lastras. 2020. Implicit discourse relation classification: We need to talk about evaluation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 5404– 5414, Online. Association for Computational Linguistics. find our card
  38. Annie Louis, Aravind Joshi, and Ani Nenkova. 2010. Discourse indicators for content selection in summarization. In Proceedings of the SIGDIAL 2010 Conference, pages 147–156, Tokyo, Japan. Association for Computational Linguistics. find
  39. Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, and Masaaki Nagata. 2022. A simple and strong baseline for end-to-end neural RST-style discourse parsing. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 6725–6737, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. find
  40. William C. Mann and Sandra A. Thompson. 1988. Rhetorical Structure Theory: Toward a functional theory of text organization. Text, 8:243–281. find our card
  41. Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of english: The penn treebank. Special Issue on Using Large Corpora, Computational Linguistics, 19(2):313–330. find our card
  42. Li Liang, Zheng Zhao, and Bonnie Webber. 2020. Extending implicit discourse relation recognition to the PDTB-3. In Proceedings of the First Workshop on Computational Approaches to Discourse, pages 135– 147, Online. Association for Computational Linguistics. find
  43. Amália Mendes and Pierre Lejeune. 2022. Crpc-db a discourse bank for portuguese. In Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings, page 79–89, Berlin, Heidelberg. Springer-Verlag. find
  44. Yang Liu, Ivan Titov, and Mirella Lapata. 2019. Single document summarization as tree induction. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 1745–1755, Minneapolis, Minnesota. Association for Computational Linguistics. find
  45. Philippe Muller, Stergos Afantenos, Pascal Denis, and Nicholas Asher. 2012. Constrained decoding for text-level discourse parsing. In Proceedings of COLING 2012, pages 1883–1900, Mumbai, India. find
  46. The COL-ING 2012 Organizing Committee. find
  47. Philippe Muller, Chloé Braud, and Mathieu Morey. 2019. ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 115– 124, Minneapolis, MN. Association for Computational Linguistics. find
  48. Gisela Redeker, Ildikó Berzlánovich, Nynke van der Vliet, Gosse Bouma, and Markus Egg. 2012. Multi-layer discourse annotation of a Dutch text corpus. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12), pages 2820–2825, Istanbul, Turkey. European Language Resources Association (ELRA). find
  49. Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, and Thien Huu Nguyen. 2021. Trankit: A lightweight transformer-based toolkit for multilingual natural language processing. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 80–90, Online. Association for Computational Linguistics. find
  50. Giuseppe Riccardi, Evgeny A. Stepanov, and Shammur Absar Chowdhury. 2016. Discourse connective detection in spoken conversations. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 6095–6099. find
  51. Merel Scholman, Tianai Dong, Frances Yung, and Vera Demberg. 2021. Comparison of methods for explicit discourse connective identification across various domains. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse, pages 95–106, Punta Cana, Dominican Republic and Online. Association for Computational Linguistics. find
  52. Noriki Nishida and Yuji Matsumoto. 2022. Out-of-domain discourse dependency parsing via bootstrapping: An empirical analysis on its effectiveness and limitation. Transactions of the Association for Computational Linguistics, 10:127–144. find
  53. Sara Shahmohammadi, Hadi Veisi, and Ali Darzi. 2021. Persian Rhetorical Structure Theory. arXiv preprint arXiv:2106.13833. ↗
  54. Siyao Peng, Yang Janet Liu, and Amir Zeldes. 2022a. Chinese Discourse Annotation Reference Manual. Research Report, Georgetown University (Washington, D.C.). find
  55. Manfred Stede and Arne Neumann. 2014. Potsdam commentary corpus 2.0: Annotation for discourse research. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), pages 925–929, Reykjavik, Iceland. European Language Resources Association (ELRA). find
  56. Siyao Peng, Yang Janet Liu, and Amir Zeldes. 2022b. GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, pages 382–391, Online only. Association for Computational Linguistics. find
  57. Svetlana Toldova, Dina Pisarevskaya, Margarita Ananyeva, Maria Kobozeva, Alexander Nasedkin, Sofia Nikiforova, Irina Pavlova, and Alexey Shelepov. 2017. Rhetorical relations markers in Russian RST treebank. In Proceedings of the 6th Workshop on Recent Advances in RST and Related Formalisms, pages 29–33, Santiago de Compostela, Spain. Association for Computational Linguistics. find
  58. Emily Pitler, Mridhula Raghupathy, Hena Mehta, Ani Nenkova, Alan Lee, and Aravind Joshi. 2008. Easily identifiable discourse relations. In Coling 2008: Companion volume: Posters, pages 87–90, Manchester, UK. Coling 2008 Organizing Committee. find
  59. Sara Tonelli, Giuseppe Riccardi, Rashmi Prasad, and Aravind Joshi. 2010. Annotation of discourse relations for conversational spoken dialogs. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10), Valletta, Malta. European Language Resources Association (ELRA). find
  60. Rashmi Prasad, Aravind Joshi, Nikhil Dinesh, Alan Lee, Eleni Miltsakaki, and Bonnie Webber. 2005. The Penn Discourse TreeBank as a resource for natural language generation. In Proceedings of the Corpus Linguistics Workshop on Using Corpora for Natural Language Generation, pages 25–32. find our card
  61. Rashmi Prasad, Bonnie Webber, and Aravind Joshi. 2014. Reflections on the Penn Discourse TreeBank, comparable corpora, and complementary annotation. Computational Linguistics, 40(4):921–950. find our card
  62. Mei Tu, Yu Zhou, and Chengqing Zong. 2013. A novel translation framework based on Rhetorical Structure Theory. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 370–374, Sofia, Bulgaria. Association for Computational Linguistics. find
  63. Dongqi Pu, Yifan Wang, and Vera Demberg. 2023. Incorporating distributions of discourse structure for long document abstractive summarization. In Proceedings of ACL 2023, Toronto, Canada. find
  64. Bonnie Webber, Andrei Popescu-Belis, Katja Markert, and Jörg Tiedemann, editors. 2013. Proceedings of the Workshop on Discourse in Machine Translation. Association for Computational Linguistics, Sofia, Bulgaria. find
  65. Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020. Stanza: A Python natural language processing toolkit for many human languages. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. ↗ our card
  66. Ngo Xuan Bach, Nguyen Le Minh, and Akira Shimazu. 2012. A reranking model for discourse segmentation using subtree features. In Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 160–168, Seoul, South Korea. Association for Computational Linguistics. find
  67. Task on Discourse Relation Parsing and Treebanking (DISRPT 2021), pages 1–12, Punta Cana, Dominican Republic. Association for Computational Linguistics. find
  68. Deniz Zeyrek and Murathan Kurfalı. 2017. TDB 1.1: Extensions on Turkish discourse bank. In Proceedings of the 11th Linguistic Annotation Workshop, pages 76–81, Valencia, Spain. Association for Computational Linguistics. find
  69. Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, Attapol Rutherford, Bonnie Webber, Chuan Wang, and Hongmin Wang. 2016. CoNLL 2016 shared task on multilingual shallow discourse parsing. In Proceedings of the CoNLL-16 shared task, pages 1–19, Berlin, Germany. Association for Computational Linguistics. find our card
  70. Deniz Zeyrek, Amália Mendes, Yulia Grishina, Murathan Kurfalı, Samuel Gibbon, and Maciej Ogrodniczuk. 2019. TED Multilingual Discourse Bank (TED-MDB): A parallel corpus annotated in the PDTB style. Language Resources and Evaluation, pages 1–27. find
  71. An Yang and Sujian Li. 2018. SciDTB: Discourse dependency TreeBank for scientific abstracts. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 444–449, Melbourne, Australia. Association for Computational Linguistics. find our card
  72. Deniz Zeyrek, Amália Mendes, and Murathan Kurfalı. 2018. Multilingual extension of PDTB-style annotation: The case of TED multilingual discourse bank. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA). find
  73. Cheng Yi, Li Sujian, and Li Yueyuan. 2021. Unifying discourse resources with dependency framework. In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 1058– 1065, Huhhot, China. Chinese Information Processing Society of China. find
  74. Deniz Zeyrek and Bonnie Webber. 2008. A discourse resource for Turkish: Annotating discourse connectives in the METU corpus. In Proceedings of the 6th Workshop on Asian Language Resources. find
  75. Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, and Masaaki Nagata. 2014. Dependency-based discourse parser for single-document summarization. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1834–1839, Doha, Qatar. Association for Computational Linguistics. find
  76. Yuping Zhou, Jill Lu, Jennifer Zhang, and Nianwen Xue. 2014. Chinese Discourse Treebank 0.5 LDC2014T21. find
  77. Nan Yu, Guohong Fu, and Min Zhang. 2022a. Speaker-aware discourse parsing on multi-party dialogues. In Proceedings of the 29th International Conference on Computational Linguistics, pages 5372–5382, Gyeongju, Republic of Korea. International Committee on Computational Linguistics. find
  78. Nan Yu, Meishan Zhang, Guohong Fu, and Min Zhang. 2022b. RST discourse parsing with second-stage EDU-level pre-training. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4269– 4280, Dublin, Ireland. Association for Computational Linguistics. find
  79. Amir Zeldes. 2017. The GUM Corpus: Creating Multilayer Resources in the Classroom. Language Resources and Evaluation, 51(3):581–612. ↗
  80. Amir Zeldes, Debopam Das, Erick Galani Maziero, Juliano Antonio, and Mikel Iruskieta. 2019. find
  81. The DIS-RPT 2019 shared task on elementary discourse unit segmentation and connective detection. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 97–104, Minneapolis, MN. Association for Computational Linguistics. find
  82. Amir Zeldes, Yang Janet Liu, Mikel Iruskieta, Philippe Muller, Chloé Braud, and Sonia Badene. 2021. find
  83. The DISRPT 2021 shared task on elementary discourse unit segmentation, connective detection, and relation classification. In Proceedings of the 2nd Shared find

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