https://fe.up.pt/dargmints/ 2026-05-22T11:12:14+0200 https://fe.up.pt/dargmints/ https://fe.up.pt/dargmints/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-10-14T17:45:18+0200 Anonymous (anonymous@undisclosed.example.com) https://fe.up.pt/dargmints/doku.php?id=corpora&rev=1665762318&do=diff DARGMINTS Discourse Analysis and Argumentation Mining from Text Sources POCI-01-0145-FEDER-031460 Corpora Opinion Articles Persuasive Essays in Portuguese Portuguese Parliamentary Minutes text/html 2022-12-14T12:40:21+0200 Anonymous (anonymous@undisclosed.example.com) https://fe.up.pt/dargmints/doku.php?id=prototypes&rev=1671018021&do=diff DARGMINTS Discourse Analysis and Argumentation Mining from Text Sources POCI-01-0145-FEDER-031460 Prototypes ArgMine Visual Argument Dashboard ScrollyTeller text/html 2022-08-29T18:49:57+0200 Anonymous (anonymous@undisclosed.example.com) https://fe.up.pt/dargmints/doku.php?id=publications&rev=1661791797&do=diff DARGMINTS Discourse Analysis and Argumentation Mining from Text Sources POCI-01-0145-FEDER-031460 Publications Gil Rocha, Luís Trigo, Henrique Lopes Cardoso, Rui Sousa-Silva, Paula Carvalho, Bruno Martins, Miguel Won (2022). “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. text/html 2020-11-19T20:21:48+0200 Anonymous (anonymous@undisclosed.example.com) https://fe.up.pt/dargmints/doku.php?id=related-projects&rev=1605813708&do=diff DARGMINTS Discourse Analysis and Argumentation Mining from Text Sources POCI-01-0145-FEDER-031460 Related Projects ---------- Prototypes at Arg-tech (U. Dundee) for argument maps and analytics visualization (mainly for debates): * Moral Maze: text/html 2022-10-14T16:17:47+0200 Anonymous (anonymous@undisclosed.example.com) https://fe.up.pt/dargmints/doku.php?id=start&rev=1665757067&do=diff DARGMINTS Discourse Analysis and Argumentation Mining from Text Sources POCI-01-0145-FEDER-031460 2018.10.01 – 2022.07.31 Natural language processing (NLP) received a strong push in the last decade, due to the abundance of web data, and leveraging advances on statistical machine learning. While many different NLP tasks have seen significant progress, issues like (a) handling figurative devices (e.g., irony or metaphor) in written text, or (b) document-level parsing of discourse and/or argume… text/html 2022-08-29T18:25:30+0200 Anonymous (anonymous@undisclosed.example.com) https://fe.up.pt/dargmints/doku.php?id=team&rev=1661790330&do=diff DARGMINTS Discourse Analysis and Argumentation Mining from Text Sources POCI-01-0145-FEDER-031460 Team FEUP * Henrique Lopes Cardoso (PI) * Gil Rocha * Ana Paula Rocha FLUP * Rui Sousa Silva INESC-ID * Bruno Martins (co-PI) * Daniel Gonçalves * Miguel Won * Paula Carvalho * Pável Calado Postdocs * Fábio Goularte, INESC-ID * Luís Trigo, FEUP Scholarships * Marcela Faria, FLUP text/html 2025-01-13T10:05:22+0200 Anonymous (anonymous@undisclosed.example.com) https://fe.up.pt/dargmints/doku.php?id=theses&rev=1736759122&do=diff DARGMINTS Discourse Analysis and Argumentation Mining from Text Sources POCI-01-0145-FEDER-031460 Theses Gil Rocha, Argumentation Mining from Text Using Semantic Approaches, Ph.D. Thesis, ProDEI (FEUP), LIACC, October 2023. Bernardo Costa Moreira,