{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:54:37Z","timestamp":1743094477138,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030841850"},{"type":"electronic","value":"9783030841867"}],"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\/978-3-030-84186-7_22","type":"book-chapter","created":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T10:03:42Z","timestamp":1628330622000},"page":"324-340","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["NS-Hunter: BERT-Cloze Based Semantic Denoising for Distantly Supervised Relation Classification"],"prefix":"10.1007","author":[{"given":"Tielin","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,8]]},"reference":[{"key":"22_CR1","doi-asserted-by":"publisher","unstructured":"Beltagy, I., Lo, K., Ammar, W.: Combining distant and direct supervision for neural relation extraction. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2\u20137, 2019, Volume 1 (Long and Short Papers), pp. 1858\u20131867. Association for Computational Linguistics (2019). https:\/\/doi.org\/10.18653\/v1\/n19-1184","DOI":"10.18653\/v1\/n19-1184"},{"key":"22_CR2","unstructured":"Clark, K., Luong, M., Le, Q.V., Manning, C.D.: ELECTRA: pre-training text encoders as discriminators rather than generators. In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26\u201330, 2020. OpenReview.net (2020). https:\/\/openreview.net\/forum?id=r1xMH1BtvB"},{"key":"22_CR3","unstructured":"Cui, L., Cheng, S., Wu, Y., Zhang, Y.: Does bert solve commonsense task via commonsense knowledge? (2020)"},{"key":"22_CR4","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs\/1810.04805 (2018). http:\/\/arxiv.org\/abs\/1810.04805"},{"key":"22_CR5","unstructured":"Feng, J., Huang, M., Zhao, L., Yang, Y., Zhu, X.: Reinforcement learning for relation classification from noisy data. In: McIlraith, S.A., Weinberger, K.Q. (eds.) Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, 2\u20137 February 2018, pp. 5779\u20135786. AAAI Press (2018). https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/17151"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Gururangan, S., et al.: Don\u2019t stop pretraining: adapt language models to domains and tasks (2020)","DOI":"10.18653\/v1\/2020.acl-main.740"},{"key":"22_CR7","unstructured":"Han, X., Liu, Z., Sun, M.: Denoising distant supervision for relation extraction via instance-level adversarial training. CoRR abs\/1805.10959 (2018). http:\/\/arxiv.org\/abs\/1805.10959"},{"key":"22_CR8","unstructured":"Ji, G., Liu, K., He, S., Zhao, J.: Distant supervision for relation extraction with sentence-level attention and entity descriptions. In: Singh, S.P., Markovitch, S. (eds.) Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 4\u20139 February 2017, San Francisco, California, USA, pp. 3060\u20133066. AAAI Press (2017). http:\/\/aaai.org\/ocs\/index.php\/AAAI\/AAAI17\/paper\/view\/14491"},{"key":"22_CR9","doi-asserted-by":"publisher","unstructured":"Jia, W., Dai, D., Xiao, X., Wu, H.: ARNOR: attention regularization based noise reduction for distant supervision relation classification. In: Korhonen, A., Traum, D.R., M\u00e0rquez, L. (eds.) Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, 28 July\u2013 2 August 2019, Volume 1: Long Papers, pp. 1399\u20131408. Association for Computational Linguistics (2019). https:\/\/doi.org\/10.18653\/v1\/p19-1135","DOI":"10.18653\/v1\/p19-1135"},{"key":"22_CR10","doi-asserted-by":"publisher","unstructured":"Li, P., Zhang, X., Jia, W., Zhao, H.: GAN driven semi-distant supervision for relation extraction. In: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, 2\u20137 June 2019, Volume 1 (Long and Short Papers), pp. 3026\u20133035. Association for Computational Linguistics (2019). https:\/\/doi.org\/10.18653\/v1\/n19-1307","DOI":"10.18653\/v1\/n19-1307"},{"key":"22_CR11","unstructured":"Li, Y., et al.: Self-attention enhanced selective gate with entity-aware embedding for distantly supervised relation extraction. CoRR abs\/1911.11899 (2019). http:\/\/arxiv.org\/abs\/1911.11899"},{"key":"22_CR12","doi-asserted-by":"publisher","unstructured":"Lin, Y., Shen, S., Liu, Z., Luan, H., Sun, M.: Neural relation extraction with selective attention over instances. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, 7\u201312 August 2016, Berlin, Germany, Volume 1: Long Papers. The Association for Computer Linguistics (2016). https:\/\/doi.org\/10.18653\/v1\/p16-1200","DOI":"10.18653\/v1\/p16-1200"},{"key":"22_CR13","doi-asserted-by":"publisher","unstructured":"Liu, T., Wang, K., Chang, B., Sui, Z.: A soft-label method for noise-tolerant distantly supervised relation extraction. In: Palmer, M., Hwa, R., Riedel, S. (eds.) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, 9\u201311 September 2017, pp. 1790\u20131795. Association for Computational Linguistics (2017). https:\/\/doi.org\/10.18653\/v1\/d17-1189","DOI":"10.18653\/v1\/d17-1189"},{"key":"22_CR14","unstructured":"Liu, W., et al.: K-bert: enabling language representation with knowledge graph (2019)"},{"key":"22_CR15","unstructured":"Liu, Y., et al.: Roberta: a robustly optimized BERT pretraining approach. CoRR abs\/1907.11692 (2019). http:\/\/arxiv.org\/abs\/1907.11692"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In: Su, K., Su, J., Wiebe, J. (eds.) ACL 2009, Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the AFNLP, 2\u20137 August 2009, Singapore, pp. 1003\u20131011. The Association for Computer Linguistics (2009). https:\/\/www.aclweb.org\/anthology\/P09-1113\/","DOI":"10.3115\/1690219.1690287"},{"key":"22_CR17","doi-asserted-by":"publisher","unstructured":"Pershina, M., Min, B., Xu, W., Grishman, R.: Infusion of labeled data into distant supervision for relation extraction. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, 22\u201327 June 2014, Baltimore, MD, USA, Volume 2: Short Papers, pp. 732\u2013738. The Association for Computer Linguistics (2014). https:\/\/doi.org\/10.3115\/v1\/p14-2119","DOI":"10.3115\/v1\/p14-2119"},{"key":"22_CR18","doi-asserted-by":"publisher","unstructured":"Qin, P., Xu, W., Wang, W.Y.: DSGAN: generative adversarial training for distant supervision relation extraction. In: Gurevych, I., Miyao, Y. (eds.) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15\u201320, 2018, Volume 1: Long Papers, pp. 496\u2013505. Association for Computational Linguistics (2018). https:\/\/doi.org\/10.18653\/v1\/P18-1046","DOI":"10.18653\/v1\/P18-1046"},{"key":"22_CR19","doi-asserted-by":"publisher","unstructured":"Qin, P., Xu, W., Wang, W.Y.: Robust distant supervision relation extraction via deep reinforcement learning. In: Gurevych, I., Miyao, Y. (eds.) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, 15\u201320 July 2018, Volume 1: Long Papers, pp. 2137\u20132147. Association for Computational Linguistics (2018). https:\/\/doi.org\/10.18653\/v1\/P18-1199. https:\/\/www.aclweb.org\/anthology\/P18-1199\/","DOI":"10.18653\/v1\/P18-1199"},{"key":"22_CR20","doi-asserted-by":"publisher","unstructured":"Qu, J., Hua, W., Ouyang, D., Zhou, X., Li, X.: A fine-grained and noise-aware method for neural relation extraction. In: Zhu, W., et al. (eds.) Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, 3\u20137 November 2019, pp. 659\u2013668. ACM (2019). https:\/\/doi.org\/10.1145\/3357384.3357997","DOI":"10.1145\/3357384.3357997"},{"key":"22_CR21","doi-asserted-by":"publisher","unstructured":"Ren, X., et al.: Cotype: joint extraction of typed entities and relations with knowledge bases. In: Barrett, R., Cummings, R., Agichtein, E., Gabrilovich, E. (eds.) Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, 3\u20137 April 2017, pp. 1015\u20131024. ACM (2017). https:\/\/doi.org\/10.1145\/3038912.3052708","DOI":"10.1145\/3038912.3052708"},{"key":"22_CR22","doi-asserted-by":"publisher","unstructured":"Soares, L.B., FitzGerald, N., Ling, J., Kwiatkowski, T.: Matching the blanks: Distributional similarity for relation learning. In: Korhonen, A., Traum, D.R., M\u00e0rquez, L. (eds.) Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, 28 July\u20132 August 2019, Volume 1: Long Papers, pp. 2895\u20132905. Association for Computational Linguistics (2019). https:\/\/doi.org\/10.18653\/v1\/p19-1279","DOI":"10.18653\/v1\/p19-1279"},{"key":"22_CR23","doi-asserted-by":"publisher","unstructured":"Wang, L., Cao, Z., de Melo, G., Liu, Z.: Relation classification via multi-level attention CNNs. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, 7\u201312 August 2016, Berlin, Germany, Volume 1: Long Papers. The Association for Computer Linguistics (2016). https:\/\/doi.org\/10.18653\/v1\/p16-1123","DOI":"10.18653\/v1\/p16-1123"},{"key":"22_CR24","doi-asserted-by":"crossref","unstructured":"Wei, Z., Su, J., Wang, Y., Tian, Y., Chang, Y.: A novel cascade binary tagging framework for relational triple extraction (2019)","DOI":"10.18653\/v1\/2020.acl-main.136"},{"key":"22_CR25","doi-asserted-by":"publisher","unstructured":"Wu, S., He, Y.: Enriching pre-trained language model with entity information for relation classification. In: Zhu, W., et al. (eds.) Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, 3\u20137 November 2019, pp. 2361\u20132364. ACM (2019). https:\/\/doi.org\/10.1145\/3357384.3358119","DOI":"10.1145\/3357384.3358119"},{"key":"22_CR26","unstructured":"Zelenko, D., Aone, C., Richardella, A.: Kernel methods for relation extraction. J. Mach. Learn. Res. 3, 1083\u20131106 (2003) http:\/\/jmlr.org\/papers\/v3\/zelenko03a.html"},{"key":"22_CR27","unstructured":"Zeng, D., Liu, K., Lai, S., Zhou, G., Zhao, J.: Relation classification via convolutional deep neural network. In: Hajic, J., Tsujii, J. (eds.) COLING 2014, 25th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, 23\u201329 August 2014, Dublin, Ireland, pp. 2335\u20132344. ACL (2014). https:\/\/www.aclweb.org\/anthology\/C14-1220\/"},{"key":"22_CR28","unstructured":"Zeng, X., He, S., Liu, K., Zhao, J.: Large scaled relation extraction with reinforcement learning. In: McIlraith, S.A., Weinberger, K.Q. (eds.) Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, 2\u20137 February 2018, pp. 5658\u20135665. AAAI Press (2018). https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/16257"},{"key":"22_CR29","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Han, X., Liu, Z., Jiang, X., Sun, M., Liu, Q.: ERNIE: enhanced language representation with informative entities. In: Korhonen, A., Traum, D.R., M\u00e0rquez, L. (eds.) Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, 28 July 28\u20132 August 2019, Volume 1: Long Papers, pp. 1441\u20131451. Association for Computational Linguistics (2019). https:\/\/doi.org\/10.18653\/v1\/p19-1139","DOI":"10.18653\/v1\/p19-1139"}],"container-title":["Lecture Notes in Computer Science","Chinese Computational Linguistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-84186-7_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T10:09:07Z","timestamp":1628330947000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-84186-7_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030841850","9783030841867"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-84186-7_22","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 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China National Conference on Chinese Computational Linguistics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hohhot","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"13 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cncl2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cips-cl.org\/static\/CCL2021\/en\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"www.softconf.com","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"90","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":"31","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":"34% - 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":"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)"}}]}}