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publications [2022/02/16 17:08] dargmints [Publications] |
publications [2022/08/29 18:49] (current) dargmints [Publications] |
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**Discourse Analysis and Argumentation Mining from Text Sources**\\ | **Discourse Analysis and Argumentation Mining from Text Sources**\\ | ||
**POCI-01-0145-FEDER-031460** | **POCI-01-0145-FEDER-031460** | ||
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==== Publications ==== | ==== Publications ==== | ||
- | Pedro Azevedo, Gil Rocha, Diego Esteves, Henrique Lopes Cardoso (2021). “Towards Better Evidence Extraction Methods for Fact-Checking Systems”, in 2021 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’21), online, December 14-17, 2021. | + | Gil Rocha, Luís Trigo, Henrique Lopes Cardoso, Rui Sousa-Silva, Paula Carvalho, Bruno Martins, Miguel Won (2022). “[[http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.201.pdf|Annotating Arguments in a Corpus of Opinion Articles]]”, in LREC 2022 – The 13th Language Resources and Evaluation Conference, Marseille, June 20-25, 2022, European Language Resources Association (ELRA). ISBN: 979-10-95546-72-6, pp. 1890-1899. |
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+ | Gil Rocha, Bernardo Leite, Luís Trigo, Henrique Lopes Cardoso, Rui Sousa-Silva, Paula Carvalho, Bruno Martins, Miguel Won (2022). “[[https://link.springer.com/chapter/10.1007/978-3-031-08473-7_21|Predicting argument density from multiple annotations]]”, in Rosso, P., Basile, V., Martínez, R., Métais, E., Meziane, F. (eds), 27th International Conference on Natural Language & Information Systems (NLDB 2022), Valencia, Spain, June 15-17, 2022, Springer, LNCS 13286, pp. 227-239. DOI: 10.1007/978-3-031-08473-7_21. | ||
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+ | Gil Rocha, Henrique Lopes Cardoso (2022). “[[https://dl.acm.org/doi/abs/10.1145/3477314.3507246|Context Matters! Identifying Argumentative Relations in Essays]]”, in SAC 2022 – The 37th ACM/SIGAPP Symposium On Applied Computing, virtual conference, April 25-29, 2022. | ||
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+ | Pedro Azevedo, Gil Rocha, Diego Esteves, Henrique Lopes Cardoso (2021). “[[https://dl.acm.org/doi/abs/10.1145/3486622.3493930|Towards Better Evidence Extraction Methods for Fact-Checking Systems]]”, in 2021 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’21), Association for Computing Machinery, New York, pp. 277-284, December 14-17, 2021. DOI: 10.1145/3486622.3493930. | ||
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+ | Gil Rocha, Henrique Lopes Cardoso (2021). “[[https://www.esann.org/sites/default/files/proceedings/2021/ES2021-134.pdf|Towards Robust Auxiliary Tasks for Language Adaptation]]”, in 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), 6-8 October 2021, online, ISBN 978287587082-7, pp. 269-274. | ||
- | Gil Rocha, Henrique Lopes Cardoso (2021). “[[https://www.esann.org/sites/default/files/proceedings/2021/ES2021-134.pdf|Towards Robust Auxiliary Tasks for Language Adaptation]]”, in 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), 6-8 October 2021, online, October 6-8, 2021. | + | Gil Rocha, Luís Trigo, Henrique Lopes Cardoso, Rui Sousa-Silva, Paula Carvalho, Bruno Martins (2021): Annotating Arguments in Opinion Articles: Analysis and Evaluation of the DARGMINTS Corpus (Technical Report). |
Gil Rocha, Henrique Lopes Cardoso (2021). “[[https://link.springer.com/chapter/10.1007/978-3-030-86383-8_47|Improving Transfer Learning in Unsupervised Language Adaptation]]”, in Farkaš, I., Masulli, P., Otte, S., Wermter, S. (Eds.), 30th International Conference on Artificial Neural Networks (ICANN 2021), Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V. Springer LNCS 12895, pp. 588-599. DOI: 10.1007/978-3-030-86383-8_47. | Gil Rocha, Henrique Lopes Cardoso (2021). “[[https://link.springer.com/chapter/10.1007/978-3-030-86383-8_47|Improving Transfer Learning in Unsupervised Language Adaptation]]”, in Farkaš, I., Masulli, P., Otte, S., Wermter, S. (Eds.), 30th International Conference on Artificial Neural Networks (ICANN 2021), Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V. Springer LNCS 12895, pp. 588-599. DOI: 10.1007/978-3-030-86383-8_47. |