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However, they are expensive to build and, consequently, are unavailable for many languages and domains. Thus, approaches able to induce semantic frames in an unsupervised manner are highly valuable. In this paper we approach that task from a network perspective as a community detection problem that targets the identification of groups of verb instances that evoke the same semantic frame and verb arguments that play the same semantic role. To do so, we apply a graph-clustering algorithm to a graph with contextualized representations of verb instances or arguments as nodes connected by edges if the distance between them is below a threshold that defines the granularity of the induced frames. By applying this approach to the benchmark dataset defined in the context of SemEval 2019, we outperformed all of the previous approaches to the task, achieving the current state-of-the-art performance.<\/jats:p>","DOI":"10.1007\/s41109-020-00312-z","type":"journal-article","created":{"date-parts":[[2020,9,24]],"date-time":"2020-09-24T03:45:12Z","timestamp":1600919112000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Semantic frame induction through the detection of communities of verbs and their arguments"],"prefix":"10.1007","volume":"5","author":[{"given":"Eug\u00e9nio","family":"Ribeiro","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2758-1891","authenticated-orcid":false,"given":"Andreia Sofia","family":"Teixeira","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Ribeiro","sequence":"additional","affiliation":[]},{"given":"David","family":"Martins de Matos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"312_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, CC, Hinneburg A, Keim DA (2001) On the surprising behavior of distance metrics in high dimensional space In: ICDT, 420\u2013434. doi:10.1007\/3-540-44503-X_27.","DOI":"10.1007\/3-540-44503-X_27"},{"key":"312_CR2","unstructured":"Aharon, RB, Szpektor I, Dagan I (2010) Generating entailment rules from framenet In: ACL, vol. 2, 241\u2013246. https:\/\/www.aclweb.org\/anthology\/P10-2045\/."},{"key":"312_CR3","doi-asserted-by":"crossref","unstructured":"Anwar, S, Ustalov D, Arefyev N, Ponzetto SP, Biemann C, Panchenko A (2019) HHMM at semeval-2019 task 2: unsupervised frame induction using contextualized word embeddings In: SemEval, 125\u2013129. doi:10.18653\/v1\/S19-2018.","DOI":"10.18653\/v1\/S19-2018"},{"key":"312_CR4","doi-asserted-by":"crossref","unstructured":"Arefyev, N, Sheludko B, Davletov A, Kharchev D, Nevidomsky A, Panchenko A (2019) Neural granny at semeval-2019 task 2: a combined approach for better modeling of semantic relationships in semantic frame induction In: SemEval, 31\u201338. doi:10.18653\/v1\/S19-2004.","DOI":"10.18653\/v1\/S19-2004"},{"key":"312_CR5","doi-asserted-by":"crossref","unstructured":"Asadi, M, Ghaderi F (2018) Incremental community detection in social networks using label propagation method In: FRUCT, 39\u201347. doi:10.23919\/FRUCT.2018.8588023.","DOI":"10.23919\/FRUCT.2018.8588023"},{"key":"312_CR6","unstructured":"Aynaud, T (2009) Louvain community detection. 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