{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T16:11:21Z","timestamp":1761235881127,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030757670"},{"type":"electronic","value":"9783030757687"}],"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\/978-3-030-75768-7_26","type":"book-chapter","created":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T15:04:20Z","timestamp":1620399860000},"page":"325-337","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction"],"prefix":"10.1007","author":[{"given":"Tianchi","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linmei","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luhao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuan","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,8]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Aly, R., Remus, S., Biemann, C.: Hierarchical multi-label classification of text with capsule networks. In: ACL 2019, pp. 323\u2013330 (2019)","DOI":"10.18653\/v1\/P19-2045"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Baldini Soares, L., FitzGerald, N., Ling, J., Kwiatkowski, T.: Matching the blanks: distributional similarity for relation learning. In: ACL 2019, pp. 2895\u20132905 (2019)","DOI":"10.18653\/v1\/P19-1279"},{"key":"26_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1007\/978-3-030-47426-3_52","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"J Chen","year":"2020","unstructured":"Chen, J., Gong, X., Chen, X., Ma, Z.: Attribute-driven capsule network for entity relation prediction. In: Lauw, H.W., Wong, R.C.-W., Ntoulas, A., Lim, E.-P., Ng, S.-K., Pan, S.J. (eds.) PAKDD 2020. LNCS (LNAI), vol. 12084, pp. 675\u2013686. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-47426-3_52"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Chen, Z., Qian, T.: Transfer capsule network for aspect level sentiment classification. In: ACL 2019, pp.547\u2013556 (2019)","DOI":"10.18653\/v1\/P19-1052"},{"key":"26_CR5","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: NAACL-HLT 2019, pp. 4171\u20134186 (2019)"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Hendrickx, I., et al.: SemEval-2010 task 8: multi-way classification of semantic relations between pairs of nominals. In: SemEval@ACL 2010, pp. 33\u201338 (2010)","DOI":"10.3115\/1621969.1621986"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Hu, L., Zhang, L., Shi, C., Nie, L., Guan, W., Yang, C.: Improving distantly-supervised relation extraction with joint label embedding. In: EMNLP-IJCNLP 2019, pp. 3821\u20133829 (2019)","DOI":"10.18653\/v1\/D19-1395"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Miwa, M., Bansal, M.: End-to-end relation extraction using LSTMs on sequences and tree structures. In: ACL 2016, pp. 1105\u20131116 (2016)","DOI":"10.18653\/v1\/P16-1105"},{"key":"26_CR9","unstructured":"Rink, B., Harabagiu, S.: UTD: classifying semantic relations by combining lexical and semantic resources. In: SemEval@ACL 2010, pp. 256\u2013259 (2010)"},{"key":"26_CR10","unstructured":"Sabour, S., Frosst, N., Hinton, G.E.: Dynamic routing between capsules. NIPS 2017, pp. 3859\u20133869 (2017)"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Tai, K., Socher, R., Manning, C.: Improved semantic representations from tree-structured long short-term memory networks. In: ACL 2015, pp. 1556\u20131566 (2015)","DOI":"10.3115\/v1\/P15-1150"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Wu, S., He, Y.: Enriching pre-trained language model with entity information for relation classification. In: CIKM 2019, pp. 2361\u20132364 (2019)","DOI":"10.1145\/3357384.3358119"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Xu, Y., Mou, L., Li, G., Chen, Y., Peng, H., Jin, Z.: Classifying relations via long short term memory networks along shortest dependency paths. In: EMNLP 2015, pp. 1785\u20131794 (2015)","DOI":"10.18653\/v1\/D15-1206"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Yang, M., Zhao, W., Ye, J., Lei, Z., Zhao, Z., Zhang, S.: Investigating capsule networks with dynamic routing for text classification. In: EMNLP 2018, pp. 3110\u20133119 (2018)","DOI":"10.18653\/v1\/D18-1350"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Yu, M., Yin, W., Hasan, K.S., dos Santos, C., Xiang, B., Zhou, B.: Improved neural relation detection for knowledge base question answering. In: ACL 2017, pp. 571\u2013581 (2017)","DOI":"10.18653\/v1\/P17-1053"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Zeng, D., Liu, K., Chen, Y., Zhao, J.: Distant supervision for relation extraction via piecewise convolutional neural networks. In: EMNLP 2015, pp. 1753\u20131762 (2015)","DOI":"10.18653\/v1\/D15-1203"},{"key":"26_CR17","unstructured":"Zeng, D., Liu, K., Lai, S., Zhou, G., Zhao, J.: Relation classification via convolutional deep neural network. In: COLING 2014, pp. 2335\u20132344 (2014)"},{"key":"26_CR18","doi-asserted-by":"crossref","unstructured":"Zhang, N., Deng, S., Sun, Z., Chen, X., Zhang, W., Chen, H.: Attention-based capsule networks with dynamic routing for relation extraction. In: EMNLP 2018, pp. 986\u2013992 (2018)","DOI":"10.18653\/v1\/D18-1120"},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, X., Li, P., Jia, W., Zhao, H.: Multi-labeled relation extraction with attentive capsule network. In: AAAI 2019, pp. 7484\u20137491 (2019)","DOI":"10.1609\/aaai.v33i01.33017484"},{"key":"26_CR20","first-page":"2205","volume":"2018","author":"Y Zhang","year":"2018","unstructured":"Zhang, Y., Qi, P., Manning, C.D.: Graph convolution over pruned dependency trees improves relation extraction. EMNLP 2018, 2205\u20132215 (2018)","journal-title":"EMNLP"},{"key":"26_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhong, V., Chen, D., Angeli, G., Manning, C.D.: Position-aware attention and supervised data improve slot filling. In: EMNLP 2017, pp. 35\u201345 (2017)","DOI":"10.18653\/v1\/D17-1004"},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Zhou, P., et al.: Attention-based bidirectional long short-term memory networks for relation classification. In: ACL 2016, pp. 207\u2013212 (2016)","DOI":"10.18653\/v1\/P16-2034"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-75768-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:43:18Z","timestamp":1639086198000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-75768-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030757670","9783030757687"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-75768-7_26","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":"8 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pakdd2021.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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"673","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":"157","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":"0","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":"23% - 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":"3","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":"7","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)"}}]}}