{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T19:40:01Z","timestamp":1750275601983,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T00:00:00Z","timestamp":1614297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["Grant No.51879211"],"award-info":[{"award-number":["Grant No.51879211"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,2,26]]},"DOI":"10.1145\/3457682.3457743","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T21:53:38Z","timestamp":1624312418000},"page":"361-367","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Distant Supervision for Relation Extraction via Noise Filtering"],"prefix":"10.1145","author":[{"given":"Jing","family":"Chen","sequence":"first","affiliation":[{"name":"Wuhan University of Technology, China"}]},{"given":"Zhiqiang","family":"Guo","sequence":"additional","affiliation":[{"name":"Wuhan University of Technology, China"}]},{"given":"Jie","family":"Yang","sequence":"additional","affiliation":[{"name":"Wuhan University of Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Chinchor Nancy and Patricia Robinson. \"MUC-7 named entity task definition.\" Proceedings of the 7th Conference on Message Understanding. Vol. 29. 1997.  Chinchor Nancy and Patricia Robinson. \"MUC-7 named entity task definition.\" Proceedings of the 7th Conference on Message Understanding. Vol. 29. 1997."},{"key":"e_1_3_2_1_2_1","unstructured":"Socher Richard \"Semantic compositionality through recursive matrix-vector spaces.\" Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning. 2012.  Socher Richard \"Semantic compositionality through recursive matrix-vector spaces.\" Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning. 2012."},{"key":"e_1_3_2_1_3_1","volume-title":"the 25th International Conference on Computational Linguistics: Technical Papers","author":"Zeng Daojian","year":"2014","unstructured":"Zeng , Daojian , \"Relation classification via convolutional deep neural network.\" Proceedings of COLING 2014 , the 25th International Conference on Computational Linguistics: Technical Papers . 2014 . Zeng, Daojian, \"Relation classification via convolutional deep neural network.\" Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. 2014."},{"key":"e_1_3_2_1_4_1","volume-title":"Short Papers)","author":"Zhou Peng","year":"2016","unstructured":"Zhou , Peng , \"Attention-based bidirectional long short-term memory networks for relation classification.\" Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2 : Short Papers) . 2016 . Zhou, Peng, \"Attention-based bidirectional long short-term memory networks for relation classification.\" Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2016."},{"key":"e_1_3_2_1_5_1","volume-title":"Unsupervised extraction of semantic relations between entities on the web.\" Proceedings of the 19th international conference on World wide web","author":"Bollegala Danushka Tarupathi","year":"2010","unstructured":"Bollegala , Danushka Tarupathi , Yutaka Matsuo , and Mitsuru Ishizuka . \"Relational duality : Unsupervised extraction of semantic relations between entities on the web.\" Proceedings of the 19th international conference on World wide web . 2010 . Bollegala, Danushka Tarupathi, Yutaka Matsuo, and Mitsuru Ishizuka. \"Relational duality: Unsupervised extraction of semantic relations between entities on the web.\" Proceedings of the 19th international conference on World wide web. 2010."},{"key":"e_1_3_2_1_6_1","volume-title":"Long Papers)","author":"Yao Limin","year":"2012","unstructured":"Yao , Limin , Sebastian Riedel , and Andrew McCallum. \"Unsupervised relation discovery with sense disambiguation.\" Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1 : Long Papers) . 2012 . Yao, Limin, Sebastian Riedel, and Andrew McCallum. \"Unsupervised relation discovery with sense disambiguation.\" Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2012."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Mintz Mike \"Distant supervision for relation extraction without labeled data.\" Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. 2009.  Mintz Mike \"Distant supervision for relation extraction without labeled data.\" Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. 2009.","DOI":"10.3115\/1690219.1690287"},{"key":"e_1_3_2_1_8_1","volume-title":"Springer","author":"Riedel Sebastian","year":"2010","unstructured":"Riedel , Sebastian , Limin Yao , and Andrew McCallum . \" Modeling relations and their mentions without labeled text.\" Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer , Berlin, Heidelberg , 2010 . Riedel, Sebastian, Limin Yao, and Andrew McCallum. \"Modeling relations and their mentions without labeled text.\" Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Berlin, Heidelberg, 2010."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Zeng Daojian \"Distant supervision for relation extraction via piecewise convolutional neural networks.\" Proceedings of the 2015 conference on empirical methods in natural language processing. 2015.  Zeng Daojian \"Distant supervision for relation extraction via piecewise convolutional neural networks.\" Proceedings of the 2015 conference on empirical methods in natural language processing. 2015.","DOI":"10.18653\/v1\/D15-1203"},{"key":"e_1_3_2_1_10_1","volume-title":"Long Papers)","author":"Lin Yankai","year":"2016","unstructured":"Lin , Yankai , \"Neural relation extraction with selective attention over instances.\" Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1 : Long Papers) . 2016 . Lin, Yankai, \"Neural relation extraction with selective attention over instances.\" Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Ji Guoliang \"Distant supervision for relation extraction with sentence-level attention and entity descriptions.\" AAAI. Vol. 3060. 2017.  Ji Guoliang \"Distant supervision for relation extraction with sentence-level attention and entity descriptions.\" AAAI. Vol. 3060. 2017.","DOI":"10.1609\/aaai.v31i1.10953"},{"key":"e_1_3_2_1_12_1","unstructured":"Jat Sharmistha Siddhesh Khandelwal and Partha Talukdar. \"Improving distantly supervised relation extraction using word and entity based attention.\" arXiv preprint arXiv:1804.06987 (2018).  Jat Sharmistha Siddhesh Khandelwal and Partha Talukdar. \"Improving distantly supervised relation extraction using word and entity based attention.\" arXiv preprint arXiv:1804.06987 (2018)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Wu Shanchan Kai Fan and Qiong Zhang. \"Improving distantly supervised relation extraction with neural noise converter and conditional optimal selector.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. 2019.  Wu Shanchan Kai Fan and Qiong Zhang. \"Improving distantly supervised relation extraction with neural noise converter and conditional optimal selector.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. 2019.","DOI":"10.1609\/aaai.v33i01.33017273"},{"key":"e_1_3_2_1_14_1","volume-title":"Human Language Technologies","author":"Ye Zhi-Xiu","year":"2019","unstructured":"Ye , Zhi-Xiu , and Zhen-Hua Ling . \" Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions .\" Proceedings of the ACL : Human Language Technologies , Volume 1 ( Long and Short Papers) . 2019 . Ye, Zhi-Xiu, and Zhen-Hua Ling. \"Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions.\" Proceedings of the ACL: Human Language Technologies, Volume 1 (Long and Short Papers). 2019."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Yuan Yujin \"Cross-relation cross-bag attention for distantly-supervised relation extraction.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. 2019.  Yuan Yujin \"Cross-relation cross-bag attention for distantly-supervised relation extraction.\" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. 2019.","DOI":"10.1609\/aaai.v33i01.3301419"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Wu Yi David Bamman and Stuart Russell. \"Adversarial training for relation extraction.\" Proceedings of the EMNLP. 2017.  Wu Yi David Bamman and Stuart Russell. \"Adversarial training for relation extraction.\" Proceedings of the EMNLP. 2017.","DOI":"10.18653\/v1\/D17-1187"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Shi Ge \"Genre separation network with adversarial training for cross-genre relation extraction.\" Proceedings of the EMNLP. 2018.  Shi Ge \"Genre separation network with adversarial training for cross-genre relation extraction.\" Proceedings of the EMNLP. 2018.","DOI":"10.18653\/v1\/D18-1125"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Zeng Xiangrong \"Large Scaled Relation Extraction With Reinforcement Learning.\" AAAI. 2018.  Zeng Xiangrong \"Large Scaled Relation Extraction With Reinforcement Learning.\" AAAI. 2018.","DOI":"10.1609\/aaai.v32i1.11950"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Feng Jun \"Reinforcement learning for relation classification from noisy data.\" AAAI. 2018.  Feng Jun \"Reinforcement learning for relation classification from noisy data.\" AAAI. 2018.","DOI":"10.1609\/aaai.v32i1.12063"},{"key":"e_1_3_2_1_20_1","volume-title":"Meeting of the ACL","author":"Qin Pengda","year":"2018","unstructured":"Qin , Pengda , W. Xu , and W. Y. Wang . \" Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning .\" Meeting of the ACL 2018 . Qin, Pengda , W. Xu , and W. Y. Wang . \"Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning.\" Meeting of the ACL 2018."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"He Zhengqiu \"Improving Neural Relation Extraction with Positive and Unlabeled Learning.\" AAAI. 2020.  He Zhengqiu \"Improving Neural Relation Extraction with Positive and Unlabeled Learning.\" AAAI. 2020.","DOI":"10.1609\/aaai.v34i05.6300"},{"key":"e_1_3_2_1_22_1","volume-title":"2787-2795","author":"Bordes Antoine","year":"2013","unstructured":"Bordes , Antoine , \"Translating embeddings for modeling multi-relational data.\" Advances in neural information processing systems 26 ( 2013 ): 2787-2795 . Bordes, Antoine, \"Translating embeddings for modeling multi-relational data.\" Advances in neural information processing systems 26 (2013): 2787-2795."},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 2019 Conference of the ACL: Human Language Technologies","volume":"1","author":"Yang Kaijia","year":"2019","unstructured":"Yang , Kaijia , \" Exploiting Noisy Data in Distant Supervision Relation Classification .\" Proceedings of the 2019 Conference of the ACL: Human Language Technologies , Volume 1 (Long and Short Papers). 2019 . Yang, Kaijia, \"Exploiting Noisy Data in Distant Supervision Relation Classification.\" Proceedings of the 2019 Conference of the ACL: Human Language Technologies, Volume 1 (Long and Short Papers). 2019."},{"key":"e_1_3_2_1_24_1","unstructured":"Sutton Richard S. \"Policy gradient methods for reinforcement learning with function approximation.\"\u00a0Advances in neural information processing systems. 2000.  Sutton Richard S. \"Policy gradient methods for reinforcement learning with function approximation.\"\u00a0Advances in neural information processing systems. 2000."},{"key":"e_1_3_2_1_25_1","volume-title":"229-256","author":"Williams Ronald J","year":"1992","unstructured":"Williams , Ronald J . \"Simple statistical gradient-following algorithms for connectionist reinforcement learning.\" Machine learning 8.3-4 ( 1992 ): 229-256 . Williams, Ronald J. \"Simple statistical gradient-following algorithms for connectionist reinforcement learning.\" Machine learning 8.3-4 (1992): 229-256."},{"key":"e_1_3_2_1_26_1","unstructured":"Le Quoc and Tomas Mikolov. \"Distributed representations of sentences and documents.\" International conference on machine learning. 2014.  Le Quoc and Tomas Mikolov. \"Distributed representations of sentences and documents.\" International conference on machine learning. 2014."},{"key":"e_1_3_2_1_27_1","volume-title":"Springer","author":"Riedel Sebastian","year":"2010","unstructured":"Riedel , Sebastian , Limin Yao , and Andrew McCallum . \" Modeling relations and their mentions without labeled text.\" Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer , Berlin, Heidelberg , 2010 . Riedel, Sebastian, Limin Yao, and Andrew McCallum. \"Modeling relations and their mentions without labeled text.\" Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, Berlin, Heidelberg, 2010."}],"event":{"name":"ICMLC 2021: 2021 13th International Conference on Machine Learning and Computing","acronym":"ICMLC 2021","location":"Shenzhen China"},"container-title":["2021 13th International Conference on Machine Learning and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3457682.3457743","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3457682.3457743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:08Z","timestamp":1750195688000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3457682.3457743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,26]]},"references-count":27,"alternative-id":["10.1145\/3457682.3457743","10.1145\/3457682"],"URL":"https:\/\/doi.org\/10.1145\/3457682.3457743","relation":{},"subject":[],"published":{"date-parts":[[2021,2,26]]},"assertion":[{"value":"2021-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}