User Tools

Site Tools


publications

This is an old revision of the document!


DARGMINTS

Discourse Analysis and Argumentation Mining from Text Sources
POCI-01-0145-FEDER-031460

Publications

André Ferreira Cruz, Gil Rocha, Henrique Lopes Cardoso (2020). “On Document Representations for Detection of Biased News Articles”, in SAC 2020 - The 35th ACM/SIGAPP Symposium On Applied Computing, Brno, Czech Republic, March 30 to April 3, 2020, pp. 892-899.

André Ferreira Cruz, Gil Rocha, Henrique Lopes Cardoso (2020). “Coreference Resolution: Toward End-to-End and Cross-Lingual Systems”, Information 2020, 11(2):74, Willy Susilo (ed.), Special issue “10th Anniversary of Information—Emerging Research Challenges”, MDPI. DOI: 10.3390/info11020074.

Gil Rocha, Henrique Lopes Cardoso (2019). “A Comparative Analysis of Unsupervised Language Adaptation Methods”, in DeepLo 2019 – 2nd Workshop on Deep Learning for Low-Resource NLP, collocated with EMNLP-IJCNLP 2019, Hong Kong, November 3 or 4, 2019.

André Ferreira Cruz, Gil Rocha, Henrique Lopes Cardoso (2019). “On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings”, in Second Workshop on NLP for Internet Freedom (NLP4IF): censorship, disinformation, and propaganda, co-located with EMNLP-IJCNLP, November 4 2019, Hong Kong.

André Cruz, Gil Rocha, Rui Sousa-Silva, Henrique Lopes Cardoso (2019). “Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection”, in Proceedings of the 13th International Workshop on Semantic Evaluation (SEMEVAL), Minneapolis, Minnesota, USA, June 2019, Association for Computational Linguistics, pp. 999-1003. DOI: 10.18653/v1/S19-2173.

Miguel Won, Bruno Martins, Filipa Raimundo (2019). “Automatic extraction of relevant keyphrases for the study of issue competition”, 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), La Rochelle, France, April 2019.

publications.1603704447.txt.gz · Last modified: 2020/10/26 10:27 by dargmints