{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:14:05Z","timestamp":1742926445358,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030922375"},{"type":"electronic","value":"9783030922382"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-92238-2_24","type":"book-chapter","created":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T22:02:35Z","timestamp":1638655355000},"page":"284-295","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predominant Sense Acquisition with\u00a0a\u00a0Neural Random Walk Model"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1535-3223","authenticated-orcid":false,"given":"Attaporn","family":"Wangpoonsarp","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7858-6206","authenticated-orcid":false,"given":"Fumiyo","family":"Fukumoto","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,12,5]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Koeling, R., McCarthy, D., Carroll, J.: Domain-specific sense distributions and predominant sense acquisition. In: Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pp. 419\u2013426 (2005)","DOI":"10.3115\/1220575.1220628"},{"key":"24_CR2","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. J. Commun. ACM 38, 39\u201341 (1995)","journal-title":"J. Commun. ACM"},{"key":"24_CR3","unstructured":"Rose, T., Stevenson, M., Whitehead, M.: The Reuters corpus volume 1 - from yesterday\u2019s news to tomorrow\u2019s language resources. In: Proceedings of the 3rd International Conference on Language Resources and Evaluation (LREC 2002), pp. 29\u201331 (2002)"},{"key":"24_CR4","unstructured":"Devlin, J., Chang, M-W, Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. Journal of CoRR, arXiv:1810.04805, pp. 4171\u20134186 (2018)"},{"key":"24_CR5","unstructured":"Klicpera, J., Bojchevski, A., G\u00fcnnemann, S.: Personalized embedding propagation: combining neural networks on graphs with personalized page rank. Journal of CoRR, arXiv:1810.05997 (2018)"},{"key":"24_CR6","unstructured":"Magnini, B., Cavagli\u00e0, G.: Integrating subject field codes into WordNet. In: Proceedings of the Second International Conference on Language and Evaluation (LREC 2000), pp. 1413\u20131418 (2000)"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Gale, W.A., Church, K.W., Yarowsky, D.: One sense per discourse. In: Proceedings of the workshop and Speech and Natural Language, pp. 233\u2013237 (1992)","DOI":"10.3115\/1075527.1075579"},{"key":"24_CR8","unstructured":"Magnini, B., Strapparava, C., Pezzulo, G., Gliozzo, A.: Using domain information for word sense disambiguation. In: Proceedings of the the Second International Workshop on Evaluating Word Sense Disambiguation Systems, pp. 111\u2013114 (2001)"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Fukumoto, F., Suzuki, Y.: Identifying domain-specific senses and its application to text classification. In: Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pp. 263\u2013268 (2010)","DOI":"10.5220\/0003094102630268"},{"key":"24_CR10","doi-asserted-by":"publisher","first-page":"103215","DOI":"10.1016\/j.artint.2019.103215","volume":"279","author":"T Pasini","year":"2019","unstructured":"Pasini, T., Navigli, R.: Train-o-Matic: supervised Word Sense Disambiguation with no (manual) effort. J. Artif. Intell. 279, 103215 (2019)","journal-title":"J. Artif. Intell."},{"key":"24_CR11","unstructured":"Mikolov, T., Chen K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of 1st International Conference on Learning Representations, ICLR 2013 (2013)"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: DeepWalk: Online learning of social representations. Journal of CoRR, arXiv:1403.6652 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1162\/COLI_a_00164","volume":"40","author":"E Agirre","year":"2014","unstructured":"Agirre, E., Lacalle, O.L., Soroa, A.: Random walks for knowledge-based word sense disambiguation. J. Comput. Linguist. 40, 57\u201384 (2014)","journal-title":"J. Comput. Linguist."},{"key":"24_CR14","first-page":"107","volume":"30","author":"S Brin","year":"1998","unstructured":"Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. J. Comput. Netw. 30, 107\u2013117 (1998)","journal-title":"J. Comput. Netw."},{"key":"24_CR15","unstructured":"Kipf, T. N., Welling, M.: Semi-Supervised Classification with Graph Convolutional Networks. Journal of CoRR, arXiv:1609.02907 (2016)"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Li, Q., Han, Z., Wu, X-M: Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning. Journal of CoRR, arXiv:1801.07606 (2018)","DOI":"10.1609\/aaai.v32i1.11604"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional Neural Networks for Sentence Classification. Journal of CoRR, arXiv:1408.5882 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Liu, J., Chang, W.C., Wu, Y., Yang, Y.: Deep learning for extreme multi-label text classification. In: Proceedings of 40th International ACM SIGIR conference on Research and Development in Information Retrieval (2017)","DOI":"10.1145\/3077136.3080834"},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Wang, J., Wang, Z., Zhang, D., Yan, J.: Combining knowledge with deep convolutional neural networks for short text classification. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence IJCAI-17 (2017)","DOI":"10.24963\/ijcai.2017\/406"},{"key":"24_CR20","doi-asserted-by":"crossref","unstructured":"Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55\u201360 (2014)","DOI":"10.3115\/v1\/P14-5010"},{"key":"24_CR21","unstructured":"Kusner, M., Sun, Y., Kolkin, N., Weinberger, K.: From word embeddings to document distances. In: Proceedings of Machine Learning Research, pp. 957\u2013966 (2015)"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Akiba, T., Sano, S, Yanase, T., Ohta, T., Koyama, M.: Optuna: a next-generation Hyperparameter Optimization Framework. Jounal of CoRR, arXiv:1907.10902 (2019)","DOI":"10.1145\/3292500.3330701"},{"key":"24_CR23","doi-asserted-by":"crossref","unstructured":"Bevilacqua, M., Navigli, R.: Breaking through the 80% glass ceiling: raising the state of the art in word sense disambiguation by incorporating knowledge graph information. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 2854\u20132864 (2020)","DOI":"10.18653\/v1\/2020.acl-main.255"},{"key":"24_CR24","unstructured":"Yuan, D., Richardson, J., Doherty R. Evans, C., Altendorf, E.: Semi-supervised Word Sense Disambiguation with Neural Models. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 1374\u20131385 (2016)"},{"key":"24_CR25","unstructured":"Zhou, D., Bousquet, O., Lal, T.N., Weston, J., Schol\u0308kopf, B.: Learning with local and global consistency. In: Proceedings of Advances in Neural Information Processing Systems, vol. 16, pp. 321\u2013328 (2004)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-92238-2_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T19:56:55Z","timestamp":1726257415000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-92238-2_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030922375","9783030922382"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-92238-2_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sanur, Bali","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2021.apnns.org\/","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":"1093","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":"226","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":"177","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":"21% - 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":"2.57","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}