{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T06:18:18Z","timestamp":1662617898168},"reference-count":0,"publisher":"IOS Press","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>Many tools for knowledge management and the Semantic Web presuppose the existence of an arrangement of instances into classes, i. e. an ontology. Creating such an ontology, however, is a labor-intensive task. We present an unsupervised method to learn an ontology from text. We rely on pre-trained language models to generate lexical substitutes of given entities and then use matrix factorization to induce new classes and their entities. Our method differs from previous approaches in that (1) it captures the polysemy of entities; (2) it produces interpretable labels of the induced classes; (3) it does not require any particular structure of the text; (4) no re-training is required. We evaluate our method on German and English WikiNER corpora and demonstrate the improvements over state of the art approaches.<\/jats:p>","DOI":"10.3233\/ssw220018","type":"book-chapter","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T05:57:47Z","timestamp":1662616667000},"source":"Crossref","is-referenced-by-count":0,"title":["Learning Ontology Classes from Text by Clustering Lexical Substitutes Derived from Language Models1"],"prefix":"10.3233","author":[{"given":"Artem","family":"Revenko","sequence":"first","affiliation":[{"name":"Semantic Web Company GmbH, Austria. {firstname}.{second.name}@semantic-web.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"Mireles","sequence":"additional","affiliation":[{"name":"Semantic Web Company GmbH, Austria. {firstname}.{second.name}@semantic-web.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Breit","sequence":"additional","affiliation":[{"name":"Semantic Web Company GmbH, Austria. {firstname}.{second.name}@semantic-web.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Bourgonje","sequence":"additional","affiliation":[{"name":"Morningsun Technology GmbH, Germany. peter.bourgonje@morningsun-technology.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julian","family":"Moreno-Schneider","sequence":"additional","affiliation":[{"name":"DFKI GmbH, Germany. {firstname}.{second.name}@dfki.de"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Khvalchik","sequence":"additional","affiliation":[{"name":"Semantic Web Company GmbH, Austria. {firstname}.{second.name}@semantic-web.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georg","family":"Rehm","sequence":"additional","affiliation":[{"name":"DFKI GmbH, Germany. {firstname}.{second.name}@dfki.de"}],"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\/SSW220018","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T05:57:51Z","timestamp":1662616671000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SSW220018"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/ssw220018","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]]}}}