{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:00:51Z","timestamp":1742994051281,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030595340"},{"type":"electronic","value":"9783030595357"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59535-7_25","type":"book-chapter","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T07:03:52Z","timestamp":1600671832000},"page":"338-350","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Distributional Models in the Task of Hypernym Discovery"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4981-2515","authenticated-orcid":false,"given":"Vasiliy","family":"Yadrintsev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3272-9483","authenticated-orcid":false,"given":"Anastasiia","family":"Ryzhova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3113-3765","authenticated-orcid":false,"given":"Ilya","family":"Sochenkov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1075\/term.14.1.02aug","volume":"14","author":"A Auger","year":"2008","unstructured":"Auger, A., Barri\u00e0re, C.: Pattern-based approaches to semantic relation extraction: a state-of-the-art. Terminology 14, 1\u201319 (2008). https:\/\/doi.org\/10.1075\/term.14.1.02aug","journal-title":"Terminology"},{"key":"25_CR2","unstructured":"Baroni, M., Bernardi, R., Do, N.Q., Shan, C.: Entailment above the word level in distributional semantics. In: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France, pp. 23\u201332. Association for Computational Linguistics, April 2012. https:\/\/www.aclweb.org\/anthology\/E12-1004"},{"key":"25_CR3","unstructured":"Benko, V., Zakharov, V.: Very Large Russian Corpora: New Opportunities and New Challenges, Russian Federation, pp. 79\u201393. Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet (2016)"},{"key":"25_CR4","doi-asserted-by":"publisher","unstructured":"Berend, G., Makrai, M., F\u00f6ldi\u00e1k, P.: 300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes. In: Proceedings of The 12th International Workshop on Semantic Evaluation, New Orleans, Louisiana, pp. 928\u2013934. Association for Computational Linguistics, June 2018. https:\/\/doi.org\/10.18653\/v1\/S18-1152 . https:\/\/www.aclweb.org\/anthology\/S18-1152","DOI":"10.18653\/v1\/S18-1152"},{"key":"25_CR5","doi-asserted-by":"publisher","unstructured":"Bernier-Colborne, G., Barri\u00e8re, C.: CRIM at SemEval-2018 Task 9: a hybrid approach to hypernym discovery. In: Proceedings of The 12th International Workshop on Semantic Evaluation, New Orleans, Louisiana, pp. 725\u2013731. Association for Computational Linguistics, June 2018. https:\/\/doi.org\/10.18653\/v1\/S18-1116 . https:\/\/www.aclweb.org\/anthology\/S18-1116","DOI":"10.18653\/v1\/S18-1116"},{"key":"25_CR6","doi-asserted-by":"publisher","unstructured":"Bordea, G., Buitelaar, P., Faralli, S., Navigli, R.: SemEval-2015 Task 17: taxonomy extraction evaluation (TExEval). In: Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, pp. 902\u2013910. Association for Computational Linguistics, June 2015. https:\/\/doi.org\/10.18653\/v1\/S15-2151 . https:\/\/www.aclweb.org\/anthology\/S15-2151","DOI":"10.18653\/v1\/S15-2151"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Bordea, G., Lefever, E., Buitelaar, P.: Semeval-2016 Task 13: taxonomy extraction evaluation (TExEval-2). In: Proceedings of the 10th International Workshop on Semantic Evaluation. Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/S16-1168"},{"key":"25_CR8","doi-asserted-by":"publisher","unstructured":"Camacho-Collados, J., et al.: SemEval-2018 Task 9: hypernym discovery. In: Proceedings of The 12th International Workshop on Semantic Evaluation, New Orleans, Louisiana, pp. 712\u2013724. Association for Computational Linguistics, June 2018. https:\/\/doi.org\/10.18653\/v1\/S18-1115 . https:\/\/www.aclweb.org\/anthology\/S18-1115","DOI":"10.18653\/v1\/S18-1115"},{"key":"25_CR9","unstructured":"Grave, E., Bojanowski, P., Gupta, P., Joulin, A., Mikolov, T.: Learning word vectors for 157 languages. In: Proceedings of the International Conference on Language Resources and Evaluation (LREC 2018) (2018)"},{"key":"25_CR10","unstructured":"Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: COLING 1992, Volume 2: The 15th International Conference on Computational Linguistics (1992). https:\/\/www.aclweb.org\/anthology\/C92-2082"},{"key":"25_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1007\/978-3-030-11027-7_8","volume-title":"Analysis of Images, Social Networks and Texts","author":"M Karyaeva","year":"2018","unstructured":"Karyaeva, M., Braslavski, P., Kiselev, Y.: Extraction of hypernyms from dictionaries with a little help from word embeddings. In: van der Aalst, W.M.P., et al. (eds.) AIST 2018. LNCS, vol. 11179, pp. 76\u201387. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-11027-7_8"},{"key":"25_CR12","first-page":"38","volume":"10","author":"Y Kiselev","year":"2012","unstructured":"Kiselev, Y., Porshnev, S., Mukhin, M.: Method of extracting hyponym-hypernym relationships for nouns from definitions of explanatory dictionaries [metod izvlecheniya rodovidovykh otnosheniy mezhdu sushchestvitel\u201dnymi iz opredeleniy tolkovykh slovarey]. Softw. Eng. [Programmnaya inzheneriya] 10, 38\u201348 (2012)","journal-title":"Softw. Eng. [Programmnaya inzheneriya]"},{"key":"25_CR13","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1007\/978-3-319-26123-2_31","volume-title":"Analysis of Images, Social Networks and Texts","author":"M Korobov","year":"2015","unstructured":"Korobov, M.: morphological analyzer and generator for Russian and Ukrainian languages. In: Khachay, M.Y., Konstantinova, N., Panchenko, A., Ignatov, D.I., Labunets, V.G. (eds.) AIST 2015. CCIS, vol. 542, pp. 320\u2013332. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-26123-2_31"},{"key":"25_CR14","unstructured":"Kuratov, Y., Arkhipov, M.: Adaptation of deep bidirectional multilingual transformers for Russian language. CoRR abs\/1905.07213 (2019). http:\/\/arxiv.org\/abs\/1905.07213"},{"key":"25_CR15","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/978-3-319-52920-2_15","volume-title":"Analysis of Images, Social Networks and Texts","author":"A Kutuzov","year":"2017","unstructured":"Kutuzov, A., Kuzmenko, E.: WebVectors: a toolkit for building web interfaces for vector semantic models. In: Ignatov, D.I., et al. (eds.) AIST 2016. CCIS, vol. 661, pp. 155\u2013161. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-52920-2_15"},{"key":"25_CR16","volume-title":"Thesauruses in Information Retrieval [Tezaurusy v zadachakh informatsionnogo poiska]","author":"NV Loukachevitch","year":"2011","unstructured":"Loukachevitch, N.V.: Thesauruses in Information Retrieval [Tezaurusy v zadachakh informatsionnogo poiska]. MSU Publishing House, Moscow (2011)"},{"key":"25_CR17","unstructured":"Loukachevitch, N.V., Lashevich, G., Gerasimova, A.A., Ivanov, V.V., Dobrov, B.V.: Creating russian wordnet by conversion. In: Komp\u2019juternaja Lingvistika i Intellektual\u2019nye Tehnologii, pp. 405\u2013415. Rossiiskii Gosudarstvennyi Gumanitarnyi Universitet (2016)"},{"issue":"11","key":"25_CR18","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38(11), 39\u201341 (1995). https:\/\/doi.org\/10.1145\/219717.219748","journal-title":"Commun. ACM"},{"key":"25_CR19","unstructured":"Navigli, R., Velardi, P.: Learning word-class lattices for definition and hypernym extraction. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, pp. 1318\u20131327. Association for Computational Linguistics, July 2010. https:\/\/www.aclweb.org\/anthology\/P10-1134"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Nikishina, I., Logacheva, V., Panchenko, A., Loukachevitch, N.: RUSSE 2020: findings of the first taxonomy enrichment task for the Russian language. In: Computational Linguistics and Intellectual Technologies: Papers from the Annual Conference \u201cDialogue\u201d (2020)","DOI":"10.28995\/2075-7182-2020-19-579-595"},{"key":"25_CR21","doi-asserted-by":"publisher","unstructured":"Qiu, W., Chen, M., Li, L., Si, L.: NLP\\_HZ at SemEval-2018 Task 9: a nearest neighbor approach. In: Proceedings of The 12th International Workshop on Semantic Evaluation, New Orleans, Louisiana, pp. 909\u2013913. Association for Computational Linguistics, June 2018. https:\/\/doi.org\/10.18653\/v1\/S18-1148 , https:\/\/www.aclweb.org\/anthology\/S18-1148","DOI":"10.18653\/v1\/S18-1148"},{"key":"25_CR22","doi-asserted-by":"publisher","unstructured":"Roller, S., Kiela, D., Nickel, M.: Hearst patterns revisited: automatic hypernym detection from large text corpora. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia (Volume 2: Short Papers), pp. 358\u2013363. Association for Computational Linguistics, July 2018. https:\/\/doi.org\/10.18653\/v1\/P18-2057 . https:\/\/www.aclweb.org\/anthology\/P18-2057","DOI":"10.18653\/v1\/P18-2057"},{"key":"25_CR23","unstructured":"Sabirova, K., Lukanin, A.: Automatic extraction of hypernyms and hyponyms from Russian texts. In: CEUR Workshop Proceedings, vol. 1197, pp. 35\u201340, 01 2014"},{"key":"25_CR24","unstructured":"Shavrina, T., Shapovalova, O.: TO THE METHODOLOGY OF CORPUS CONSTRUCTION FOR MACHINE LEARNING: \u201cTAIGA\u201d SYNTAX TREE CORPUS AND PARSER, Saint-Petersbourg, pp. 78\u201384 (2017)"},{"key":"25_CR25","doi-asserted-by":"publisher","unstructured":"Shwartz, V., Goldberg, Y., Dagan, I.: Improving hypernymy detection with an integrated path-based and distributional method. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Berlin, Germany, pp. 2389\u20132398. Association for Computational Linguistics, August 2016. https:\/\/doi.org\/10.18653\/v1\/P16-1226 . https:\/\/www.aclweb.org\/anthology\/P16-1226","DOI":"10.18653\/v1\/P16-1226"},{"key":"25_CR26","doi-asserted-by":"crossref","unstructured":"Shwartz, V., Santus, E., Schlechtweg, D.: Hypernyms under siege: linguistically-motivated artillery for hypernymy detection. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, Valencia, Spain, pp. 65\u201375. Association for Computational Linguistics, April 2017. https:\/\/www.aclweb.org\/anthology\/E17-1007","DOI":"10.18653\/v1\/E17-1007"},{"key":"25_CR27","unstructured":"Weeds, J., Clarke, D., Reffin, J., Weir, D., Keller, B.: Learning to distinguish hypernyms and co-hyponyms. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, Dublin, Ireland, pp. 2249\u20132259. Dublin City University and Association for Computational Linguistics, August 2014. https:\/\/www.aclweb.org\/anthology\/C14-1212"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59535-7_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,2]],"date-time":"2021-04-02T17:20:28Z","timestamp":1617384028000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-59535-7_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030595340","9783030595357"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59535-7_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russian Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Moscow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rcai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/caics.ru\/en_raai","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":"140","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":"27","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":"8","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":"19% - 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":"6","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}