{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:31:21Z","timestamp":1763202681909,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031171192"},{"type":"electronic","value":"9783031171208"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-17120-8_33","type":"book-chapter","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T13:02:58Z","timestamp":1663938178000},"page":"418-430","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Modeling Temporal-Sensitive Information for\u00a0Complex Question Answering over\u00a0Knowledge Graphs"],"prefix":"10.1007","author":[{"given":"Yao","family":"Xiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyou","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: Dbpedia: a nucleus for a web of open data. In: Proceedings of ISWC (2007)","DOI":"10.1007\/978-3-540-76298-0_52"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Bastos, A., et al.: RECON: relation extraction using knowledge graph context in a graph neural network. In: Proceedings of WWW (2021)","DOI":"10.1145\/3442381.3449917"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Bollacker, K.D., Evans, C., Paritosh, P.K., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of SIGMOD (2008)","DOI":"10.1145\/1376616.1376746"},{"key":"33_CR4","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.neucom.2019.08.054","volume":"368","author":"F Chen","year":"2019","unstructured":"Chen, F., Huang, Y.: Knowledge-enhanced neural networks for sentiment analysis of Chinese reviews. Neurocomputing 368, 51\u201358 (2019)","journal-title":"Neurocomputing"},{"key":"33_CR5","unstructured":"Chen, W., Wang, X., Wang, W.Y.: A dataset for answering time-sensitive questions. CoRR (2021)"},{"key":"33_CR6","unstructured":"Costa, T.S., Gottschalk, S., Demidova, E.: Event-qa: a dataset for event-centric question answering over knowledge graphs. In: Proceedings of CIKM (2020)"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"F\u00e9vry, T., Soares, L.B., FitzGerald, N., Choi, E., Kwiatkowski, T.: Entities as experts: sparse memory access with entity supervision. In: Proceedings of EMNLP (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.400"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Dur\u00e1n, A., Dumancic, S., Niepert, M.: Learning sequence encoders for temporal knowledge graph completion. In: Proceedings of EMNLP (2018)","DOI":"10.18653\/v1\/D18-1516"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"He, G., Lan, Y., Jiang, J., Zhao, W.X., Wen, J.: Improving multi-hop knowledge base question answering by learning intermediate supervision signals. In: Proceedings of WSDM (2021)","DOI":"10.1145\/3437963.3441753"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Jia, Z., Abujabal, A., Roy, R.S., Str\u00f6tgen, J., Weikum, G.: Tempquestions: A benchmark for temporal question answering. In: Proceedings of WWW (2018)","DOI":"10.1145\/3184558.3191536"},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"Jia, Z., Abujabal, A., Roy, R.S., Str\u00f6tgen, J., Weikum, G.: TEQUILA: temporal question answering over knowledge bases. In: Proceedings of CIKM (2018)","DOI":"10.1145\/3269206.3269247"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Jia, Z., Pramanik, S., Roy, R.S., Weikum, G.: Complex temporal question answering on knowledge graphs. In: Proceedings of CIKM (2021)","DOI":"10.1145\/3459637.3482416"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Jin, W., et al.: Forecastqa: a question answering challenge for event forecasting with temporal text data. In: Proceedings of ACL (2021)","DOI":"10.18653\/v1\/2021.acl-long.357"},{"key":"33_CR14","unstructured":"Lacroix, T., Obozinski, G., Usunier, N.: Tensor decompositions for temporal knowledge base completion. In: Proceedings of ICLR (2020)"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Lan, Y., He, G., Jiang, J., Jiang, J., Zhao, W.X., Wen, J.: A survey on complex knowledge base question answering: Methods, challenges and solutions. In: Proceedings of IJCAI (2021)","DOI":"10.24963\/ijcai.2021\/611"},{"key":"33_CR16","unstructured":"Liu, Y., Ott, M., Goyal, N.: Roberta: a robustly optimized BERT pretraining approach. CoRR (2019)"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Mavromatis, C., et al.: Tempoqr: temporal question reasoning over knowledge graphs. In: Proceedings of AAAI (2022)","DOI":"10.1609\/aaai.v36i5.20526"},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Neelam, S., Sharma, U., Karanam, H.: SYGMA: system for generalizable modular question answering overknowledge bases. CoRR (2021)","DOI":"10.18653\/v1\/2022.findings-emnlp.284"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Qiu, Y., Wang, Y., Jin, X., Zhang, K.: Stepwise reasoning for multi-relation question answering over knowledge graph with weak supervision. In: Proceedings of WSDM (2020)","DOI":"10.1145\/3336191.3371812"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Ren, X., et al.: Cotype: joint extraction of typed entities and relations with knowledge bases. In: Proceedings of WWW (2017)","DOI":"10.1145\/3038912.3052708"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Saxena, A., Chakrabarti, S., Talukdar, P.P.: Question answering over temporal knowledge graphs. In: Proceedings of ACL (2021)","DOI":"10.18653\/v1\/2021.acl-long.520"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Saxena, A., Tripathi, A., Talukdar, P.P.: Improving multi-hop question answering over knowledge graphs using knowledge base embeddings. In: Proceedings of ACL (2020)","DOI":"10.18653\/v1\/2020.acl-main.412"},{"key":"33_CR23","doi-asserted-by":"crossref","unstructured":"Shang, C., Wang, G., Qi, P., Huang, J.: Improving time sensitivity for question answering over temporal knowledge graphs. CoRR (2022)","DOI":"10.18653\/v1\/2022.acl-long.552"},{"key":"33_CR24","doi-asserted-by":"crossref","unstructured":"Wu, J., Cao, M., Cheung, J.C.K., Hamilton, W.L.: Temp: temporal message passing for temporal knowledge graph completion. In: Proceedings of EMNLP (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.462"},{"key":"33_CR25","doi-asserted-by":"crossref","unstructured":"Xu, K., Lai, Y., Feng, Y., Wang, Z.: Enhancing key-value memory neural networks for knowledge based question answering. In: Proceedings of NAACL (2019)","DOI":"10.18653\/v1\/N19-1301"},{"key":"33_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107220","volume":"221","author":"A Zhao","year":"2021","unstructured":"Zhao, A., Yu, Y.: Knowledge-enabled BERT for aspect-based sentiment analysis. Knowl, Based Syst. 221, 107220 (2021)","journal-title":"Knowl, Based Syst."},{"key":"33_CR27","unstructured":"Zhou, M., Huang, M., Zhu, X.: An interpretable reasoning network for multi-relation question answering. In: Proceedings of COLING (2018)"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-17120-8_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T16:03:25Z","timestamp":1701101005000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17120-8_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031171192","9783031171208"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17120-8_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guilin","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2022\/","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":"Softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"327","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":"73","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":"22% - 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":"1.5","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}