https://m2.mtmt.hu/ hun 2026-10-23 17:44 JournalArticle 33550856 ADMIN_APPROVED true 0 false 2026-02-14T04:20:34.486+0000 2023-10-02T15:24:16.998+0000 2023-01-10T11:53:15.019+0000 true 10071658 Gémes Kinga Andrea /api/author/10071658 Author true 2024-01-04T23:35:28.828+0000 2024-01-04T23:35:28.828+0000 2023-10-02T15:24:17.004+0000 true 10071696 Andódy Katalin /api/admin/10071696 Admin true true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 1268360 Conference paper in journal true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/1268360 Konferenciaközlemény SubType 109 true 1268360 true 1 /api/category/1 Category true 1 Gémes, Kinga Offensive text detection across languages and datasets using rule-based and hybrid methods true false /api/journal/10051402 REVIEWED true false 10051402 true 10051402 false 1613-0073 Journal FOREIGN 3318 short22 short22 10 2022 true 348369 /api/conference/348369 true 10901 true 10017 /api/country/10017 Country true 13 /api/city/10901 City true 1412707 Conference true We investigate the potential of rule-based systems for the task of offensive text detection in English and German, and demonstrate their effectiveness in low-resource settings, as an alternative or addition to transfer learning across tasks and languages. Task definitions and annotation guidelines used by existing datasets show great variety, hence state-of-the-art machine learning models do not transfer well across datasets or languages. Furthermore, such systems lack explainability and pose a critical risk of unintended bias. We present simple rule systems based on semantic graphs for classifying offensive text in two languages and provide both quantitative and qualitative comparison of their performance with deep learning models on 5 datasets across multiple languages and shared tasks. 2023 true true true true true false GOLD 2026-02-14 true https://ceur-ws.org/Vol-3318/short22.pdf 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false 10034572 false false false 2023-04-10T10:58:26.763+0000 Automatizálási és Alkalmazott Informatikai Tanszék (BME / VIK) 3 19 1 3 0 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 106238322 /api/authorship/106238322 1 0.333 true false false Author 10071658 /api/author/10071658 Gémes Kinga Andrea true true Gémes Kinga true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 106238323 /api/authorship/106238323 2 0.333 false false false Author 10069378 /api/author/10069378 Kovács Ádám true true Kovács Ádám true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 106238324 /api/authorship/106238324 3 0.333 false true false Author 10034572 /api/author/10034572 Recski Gábor András true 10034572 true Recski Gábor true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 24442813 /api/publicationidentifier/24442813 PlainSource 39 /api/publicationsource/39 PublicationSourceType 10006 /api/publicationsourcetype/10006 true true true Teljes dokumentum Full text @@@ true true 39 true GOLD https://ceur-ws.org/Vol-3318/short22.pdf https://ceur-ws.org/Vol-3318/short22.pdf false true /api/publication/33550856 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10071658"><a href="/gui2/?type=authors&mode=browse&sel=10071658" target="_blank">Gémes Kinga (<span class="authorship-author-name">Gémes Kinga Andrea</span> <span class="authorAux-mtmt"> Nyelvtechnológia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Automatizálási és Alkalmazott Informatikai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10069378"><a href="/gui2/?type=authors&mode=browse&sel=10069378" target="_blank">Kovács Ádám (<span class="authorship-author-name">Kovács Ádám</span> <span class="authorAux-mtmt"> Nyelvtechnológia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Automatizálási és Alkalmazott Informatikai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10034572"><a href="/gui2/?type=authors&mode=browse&sel=10034572" target="_blank">Recski Gábor (<span class="authorship-author-name">Recski Gábor András</span> <span class="authorAux-mtmt"> Nyelvtechnológia</span>) </a> </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;33550856" target="_blank">Offensive text detection across languages and datasets using rule-based and hybrid methods</a></div> <div> <span class="journal-title">CEUR WORKSHOP PROCEEDINGS</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/1613-0073">1613-0073</a>)</span>: <span class="journal-volume">3318</span> <span class="page"> Paper short22. 10 p. </span> <span class="year">(2022)</span> <div class="conference"> 31st ACM International Conference on Information and Knowledge Management (CIKM 2022). Konferencia helye, ideje: <span class="location">Atlanta, Amerikai Egyesült Államok <span class="conference-date">2022.10.17. - 2022.10.21.</span> </div> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:black" title="https://ceur-ws.org/Vol-3318/short22.pdf" target="_blank" href="https://ceur-ws.org/Vol-3318/short22.pdf"> Teljes dokumentum </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 33550856</span> | <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span> Forrás | <span class="type-subtype">Folyóiratcikk ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Bibtex</span> </div> <div class="lastModified">Utolsó módosítás: 2023.10.02. 17:24 Andódy Katalin (BME admin5) </div> </div></div>