{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T10:59:44Z","timestamp":1769857184502,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591700","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"889-899","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3010-5415","authenticated-orcid":false,"given":"Zhongwu","family":"Chen","sequence":"first","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4942-9049","authenticated-orcid":false,"given":"Chengjin","family":"Xu","sequence":"additional","affiliation":[{"name":"International Digital Economy Academy, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7595-7515","authenticated-orcid":false,"given":"Fenglong","family":"Su","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4819-373X","authenticated-orcid":false,"given":"Zhen","family":"Huang","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1256-8934","authenticated-orcid":false,"given":"Yong","family":"Dou","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garc\u00eda-Dur\u00e1n, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, Christopher J. C. Burges, L\u00e9on Bottou, Zoubin Ghahramani, and Kilian Q. Weinberger (Eds.). 2787--2795. https:\/\/proceedings.neurips.cc\/paper\/2013\/hash\/1cecc7a77928ca8133fa24680a88d2f9-Abstract.html"},{"key":"e_1_3_2_1_2_1","unstructured":"Elizabeth Boschee Jennifer Lautenschlager Sean O'Brien Steve Shellman James Starz and Michael Ward. 2015. ICEWS Event Coded Event Data."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2302.05640"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1225"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11964-9_4"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37439-6"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1516"},{"key":"e_1_3_2_1_9_1","volume-title":"Marcus Brubaker, and Pascal Poupart.","author":"Goel Rishab","year":"2020","unstructured":"Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. 2020. Diachronic Embedding for Temporal Knowledge Graph Completion. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. AAAI Press, 3988--3995. https:\/\/aaai.org\/ojs\/index.php\/AAAI\/article\/view\/5815"},{"key":"e_1_3_2_1_10_1","volume-title":"Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. In 9th International Conference on Learning Representations, ICLR 2021","author":"Han Zhen","year":"2021","unstructured":"Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp. 2021. Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021. OpenReview.net. https:\/\/openreview.net\/forum?id=pGIHq1m7PU"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"e_1_3_2_1_12_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_1_13_1","volume-title":"Tensor Decompositions for Temporal Knowledge Base Completion. In 8th International Conference on Learning Representations, ICLR 2020","author":"Lacroix Timoth\u00e9e","year":"2020","unstructured":"Timoth\u00e9e Lacroix, Guillaume Obozinski, and Nicolas Usunier. 2020. Tensor Decompositions for Temporal Knowledge Base Completion. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=rke2P1BFwS"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","unstructured":"Julien Leblay and Melisachew Wudage Chekol. 2018. Deriving Validity Time in Knowledge Graph. In Companion Proceedings of the The Web Conference 2018 (Lyon France) (WWW '18). International World Wide Web Conferences Steering Committee Republic and Canton of Geneva CHE 1771--1776. https:\/\/doi.org\/10.1145\/3184558.3191639","DOI":"10.1145\/3184558.3191639"},{"key":"e_1_3_2_1_15_1","volume-title":"INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding.","author":"Liu S","year":"2021","unstructured":"S Liu, B Grau, I Horrocks, and EV Kostylev. 2021. INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding."},{"key":"e_1_3_2_1_16_1","volume-title":"TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI","author":"Liu Yushan","year":"2022","unstructured":"Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, and Volker Tresp. 2022. TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI (2022)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1223"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.282"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_20_1","volume-title":"Communicative Message Passing for Inductive Relation Reasoning. In AAAI Conference on Artificial Intelligence.","author":"Mai Sijie","year":"2020","unstructured":"Sijie Mai, Shuangjia Zheng, Yuedong Yang, and Haifeng Hu. 2020. Communicative Message Passing for Inductive Relation Reasoning. In AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_21_1","volume-title":"Time2Vec: Learning a Vector Representation of Time. ArXiv preprint","author":"Kazemi Seyed Mehran","year":"2019","unstructured":"Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, and Marcus Brubaker. 2019. Time2Vec: Learning a Vector Representation of Time. ArXiv preprint, Vol. abs\/1907.05321 (2019). https:\/\/arxiv.org\/abs\/1907.05321"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.324"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.11.085"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498529"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_27_1","volume-title":"CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. ArXiv preprint","author":"Su Yusheng","year":"2020","unstructured":"Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, and Maosong Sun. 2020. CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. ArXiv preprint, Vol. abs\/2009.13964 (2020). https:\/\/arxiv.org\/abs\/2009.13964"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242667"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.327"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6428"},{"key":"e_1_3_2_1_31_1","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. OpenReview.net. https:\/\/openreview.net\/forum?id=HkgEQnRqYQ"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","volume":"9457","author":"Teru Komal","year":"2020","unstructured":"Komal Teru, Etienne Denis, and Will Hamilton. 2020a. Inductive Relation Prediction by Subgraph Reasoning. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119). PMLR, 9448--9457. http:\/\/proceedings.mlr.press\/v119\/teru20a.html"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020","volume":"9457","author":"Teru Komal","year":"2020","unstructured":"Komal Teru, Etienne Denis, and Will Hamilton. 2020b. Inductive Relation Prediction by Subgraph Reasoning. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119). PMLR, 9448--9457. http:\/\/proceedings.mlr.press\/v119\/teru20a.html"},{"key":"e_1_3_2_1_34_1","volume-title":"Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 (JMLR Workshop and Conference Proceedings","volume":"2080","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex Embeddings for Simple Link Prediction. In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 (JMLR Workshop and Conference Proceedings, Vol. 48), Maria-Florina Balcan and Kilian Q. Weinberger (Eds.). JMLR.org, 2071--2080. http:\/\/proceedings.mlr.press\/v48\/trouillon16.html"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450043"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.295"},{"key":"e_1_3_2_1_37_1","volume-title":"Language Models as Knowledge Embeddings. IJCAI","author":"Wang Xintao","year":"2022","unstructured":"Xintao Wang, Qi He, Jiaqing Liang, and Yanghua Xiao. 2022a. Language Models as Knowledge Embeddings. IJCAI, Vol. abs\/2206.12617 (2022)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016273"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.139"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-62419-4_37"},{"key":"e_1_3_2_1_43_1","volume-title":"Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion. CoRR","author":"Xu Chengjin","year":"2022","unstructured":"Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, and Jens Lehmann. 2022a. Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion. CoRR, Vol. abs\/2202.09464 (2022). [arXiv]2202.09464 https:\/\/arxiv.org\/abs\/2202.09464"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.709"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511922"},{"key":"e_1_3_2_1_46_1","volume-title":"3rd International Conference on Learning Representations, ICLR","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1412.6575"},{"key":"e_1_3_2_1_47_1","volume-title":"KG-BERT: BERT for Knowledge Graph Completion. ArXiv","author":"Yao Liang","year":"2019","unstructured":"Liang Yao, Chengsheng Mao, and Yuan Luo. 2019. KG-BERT: BERT for Knowledge Graph Completion. ArXiv, Vol. abs\/1909.03193 (2019)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i5.20537"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591700","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:00Z","timestamp":1750178820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591700"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":48,"alternative-id":["10.1145\/3539618.3591700","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591700","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}