{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T23:34:08Z","timestamp":1772580848778,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683201","type":"print"},{"value":"9781643683218","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T00:00:00Z","timestamp":1662422400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,6]]},"abstract":"<jats:p>Sentences where two verbs share a single argument represent a complex and highly ambiguous syntactic phenomenon. The argument sharing relations must be considered during the detection process from both a syntactic and semantic perspective. Such expressions can represent ungrammatical constructions, denoted as zeugma, or idiomatic elliptical phrase combinations. Rule-based classification methods prove ineffective because of the necessity to reflect meaning relations of the analyzed sentence constituents. This paper presents the development and evaluation of ZeugBERT, a language model tuned for the sentence classification task using a pre-trained Czech transformer model for language representation. The model was trained with a newly prepared dataset, which is also published with this paper, of 7,849 Czech sentences to classify Czech syntactic structures containing coordinated verbs that share a valency argument (or an optional adjunct) in the context of coordination. ZeugBERT here reaches 88% of test set accuracy. The text describes the process of the new dataset creation and annotation, and it offers a detailed error analysis of the developed classification model.<\/jats:p>","DOI":"10.3233\/ssw220022","type":"book-chapter","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T05:57:54Z","timestamp":1662616674000},"source":"Crossref","is-referenced-by-count":1,"title":["Distinguishing the Types of Coordinated Verbs with a Shared Argument by Means of New ZeugBERT Language Model and ZeugmaDataset"],"prefix":"10.3233","author":[{"given":"Helena","family":"Medkov\u00e1","sequence":"first","affiliation":[{"name":"Masaryk University, Faculty of Arts, Brno, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ale\u0161","family":"Hor\u00e1k","sequence":"additional","affiliation":[{"name":"Masaryk University, Faculty of Informatics, Brno, Czech Republic"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies on the Semantic Web","Towards a Knowledge-Aware AI"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SSW220022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T05:57:55Z","timestamp":1662616675000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SSW220022"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,6]]},"ISBN":["9781643683201","9781643683218"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/ssw220022","relation":{},"ISSN":["1868-1158","2215-0870"],"issn-type":[{"value":"1868-1158","type":"print"},{"value":"2215-0870","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,6]]}}}