{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T00:50:00Z","timestamp":1782003000144,"version":"3.54.5"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031087530","type":"print"},{"value":"9783031087547","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-08754-7_33","type":"book-chapter","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T03:06:09Z","timestamp":1655780769000},"page":"244-251","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Classification and\u00a0Generation of\u00a0Derivational Morpho-semantic Relations for\u00a0Polish Language"],"prefix":"10.1007","author":[{"given":"Wiktor","family":"Walentynowicz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maciej","family":"Piasecki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mateusz","family":"Gniewkowski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,15]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. arXiv preprint arXiv:1607.04606 (2016)","DOI":"10.1162\/tacl_a_00051"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Dimitrova, T., Tarpomanova, E., Rizov, B.: Coping with derivation in the Bulgarian WordNet. In: Proceedings of the Seventh Global Wordnet Conference (2014)","DOI":"10.18653\/v1\/W14-0115"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Dziob, A., Piasecki, M., Rudnicka, E.: plWordNet 4.1 - a linguistically motivated, corpus-based bilingual resource. In: Proceedings of the 10th Global Wordnet Conference (2019)","DOI":"10.18653\/v1\/2019.gwc-1.45"},{"key":"33_CR4","volume-title":"WordNet - An Electronic Lexical Database","year":"1998","unstructured":"Fellbaum, C. (ed.): WordNet - An Electronic Lexical Database. The MIT Press, Cambridge (1998)"},{"key":"33_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1007\/978-3-642-04235-5_30","volume-title":"Human Language Technology. Challenges of the Information Society","author":"C Fellbaum","year":"2009","unstructured":"Fellbaum, C., Osherson, A., Clark, P.E.: Putting semantics into WordNet\u2019s \u201cmorphosemantic\u2019\u2019 links. In: Vetulani, Z., Uszkoreit, H. (eds.) LTC 2007. LNCS (LNAI), vol. 5603, pp. 350\u2013358. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-04235-5_30"},{"key":"33_CR6","unstructured":"Kanuparthi, N., Inumella, A., Sharma, D.M.: Hindi derivational morphological analyzer. In: Proceedings of the Twelfth Meeting of the Special Interest Group on Computational Morphology and Phonology (2012)"},{"key":"33_CR7","unstructured":"Koco\u0144, J., Gawor, M.: Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF. Schedae Informaticae 27 (2018)"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Koeva, S., Leseva, S., Stoyanova, I., Dimitrova, T., Todorova, M.: Automatic prediction of morphosemantic relations. In: Proceedings of the 8th Global WordNet Conference (GWC) (2016)","DOI":"10.18653\/v1\/2016.gwc-1.26"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Lango, M., \u0160ev\u010d\u00edkov\u00e1, M., \u017dabokrtsk\u00fd, Z.: Semi-automatic construction of word-formation networks (for Polish and Spanish). In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) (2018)","DOI":"10.63317\/3xxx33zke9sm"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Mititelu, V.B.: Adding morpho-semantic relations to the Romanian WordNet. In: Proceedings of the Eighth International Conference LREC 2012 (2012)","DOI":"10.63317\/2ksyz828ekp4"},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"Musil, T., Vidra, J., Mare\u010dek, D.: Derivational morphological relations in word embeddings. In: Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP (2019)","DOI":"10.18653\/v1\/W19-4818"},{"key":"33_CR12","unstructured":"Paszke, A., et al.: Pytorch: an imperative style, high-performance deep learning library. In: Advances in Neural Information Processing Systems, vol. 32 (2019)"},{"key":"33_CR13","unstructured":"Pedregosa, F., et al.: Scikit-learn: Machine learning in Python (2011)"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Piasecki, M., Ramocki, R., Maziarz, M.: Recognition of polish derivational relations based on supervised learning scheme. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012) (2012)","DOI":"10.63317\/337ydk525trk"},{"key":"33_CR15","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems (2017)"},{"key":"33_CR16","unstructured":"Vidra, J., \u017dabokrtsk\u00fd, Z., \u0160ev\u010d\u00edkov\u00e1, M., Kyj\u00e1nek, L.: DeriNet 2.0: towards an all-in-one word-formation resource. In: Proceedings of the Second International Workshop on Resources and Tools for Derivational Morphology (2019)"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Vylomova, E., Cotterell, R., Baldwin, T., Cohn, T.: Context-aware prediction of derivational word-forms. In: Proceedings of the 15th Conference of the European Chapter of the ACL (2017)","DOI":"10.18653\/v1\/E17-2019"},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"\u0160ev\u010d\u00edkov\u00e1, M., Kyj\u00e1nek, L.: Introducing semantic labels into the DeriNet network. J. Linguist.\/Jazykovedn\u00fd casopis 70(2), 412\u2013423 (2019)","DOI":"10.2478\/jazcas-2019-0070"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"\u0160najder, J.: DerivBase.hr: a high-coverage derivational morphology resource for Croatian. In: Proceedings of the Ninth International Conference LREC 2014 (2014)","DOI":"10.63317\/28u4errifyme"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"\u0160ojat, K., Sreba\u010di\u0107, M.: Morphosemantic relations between verbs in Croatian WordNet. In: Proceedings of the Seventh Global Wordnet Conference (2014)","DOI":"10.18653\/v1\/W14-0136"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08754-7_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T00:09:07Z","timestamp":1782000547000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08754-7_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031087530","9783031087547"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08754-7_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"15 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"474","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"175","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"78","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.8","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}