{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:02Z","timestamp":1750220402547,"version":"3.41.0"},"reference-count":16,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"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":["SIGIR Forum"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:p>The first workshop on Argumentation Knowledge Graphs (ArgKG) was held virtually at the Automated Knowledge Base Construction (AKBC 2021) conference on October 7, 2021. ArgKG @ AKBC 2021 brought together the Computational Argumentation and Knowledge Graphs communities, aiming to promote cross-pollination of ideas and encourage discussions and collaborations between the two communities. This paper describes the workshop and compiles several of its findings and insights.<\/jats:p>\n          <jats:p>\n            <jats:bold>Date<\/jats:bold>\n            : 7 October, 2021.\n          <\/jats:p>\n          <jats:p>\n            <jats:bold>Website<\/jats:bold>\n            : https:\/\/argkg21.argmining.org.\n          <\/jats:p>","DOI":"10.1145\/3527546.3527568","type":"journal-article","created":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T23:24:36Z","timestamp":1647559476000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Report on the 1st workshop on argumentation knowledge graphs (ArgKG 2021) at AKBC 2021"],"prefix":"10.1145","volume":"55","author":[{"given":"Tirthankar","family":"Ghosal","sequence":"first","affiliation":[{"name":"Charles University, CZ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khalid","family":"Al-Khatib","sequence":"additional","affiliation":[{"name":"University of Groningen, NL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufang","family":"Hou","sequence":"additional","affiliation":[{"name":"IBM Research, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anita","family":"de Waard","sequence":"additional","affiliation":[{"name":"Elsevier"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dayne","family":"Freitag","sequence":"additional","affiliation":[{"name":"SRI International"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,3,17]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.sdp-1.7"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.366"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.17"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.126"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1097"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1470"},{"key":"e_1_2_1_7_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence, 35(6):4758--4766","author":"Fromm Michael","year":"2021","unstructured":"Michael Fromm , Evgeniy Faerman , Max Berrendorf , Siddharth Bhargava , Ruoxia Qi , Yao Zhang , Lukas Dennert , Sophia Selle , Yang Mao , and Thomas Seidl . Argument mining driven analysis of peer-reviews . Proceedings of the AAAI Conference on Artificial Intelligence, 35(6):4758--4766 , May 2021 . URL https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/16607. Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, and Thomas Seidl. Argument mining driven analysis of peer-reviews. Proceedings of the AAAI Conference on Artificial Intelligence, 35(6):4758--4766, May 2021. URL https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/16607."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/coli"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.4230\/OASIcs.LDK.2021.19"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/953"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-62466-8_19"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.165"},{"key":"e_1_2_1_13_1","first-page":"88","volume-title":"Proceedings of the 7th Workshop on Argument Mining","author":"Moser Eli","year":"2020","unstructured":"Eli Moser and Robert E. Mercer . Use of claim graphing and argumentation schemes in biomedical literature: A manual approach to analysis . In Proceedings of the 7th Workshop on Argument Mining , pages 88 -- 99 , Online , December 2020 . Association for Computational Linguistics. URL https:\/\/aclanthology.org\/2020.argmining-1.10. Eli Moser and Robert E. Mercer. Use of claim graphing and argumentation schemes in biomedical literature: A manual approach to analysis. In Proceedings of the 7th Workshop on Argument Mining, pages 88--99, Online, December 2020. Association for Computational Linguistics. URL https:\/\/aclanthology.org\/2020.argmining-1.10."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1564"},{"key":"e_1_2_1_15_1","volume-title":"CORD-19: the covid-19 open research dataset. CoRR, abs\/2004.10706","author":"Wang Lucy Lu","year":"2020","unstructured":"Lucy Lu Wang , Kyle Lo , Yoganand Chandrasekhar , Russell Reas , Jiangjiang Yang , Darrin Eide , Kathryn Funk , Rodney Kinney , Ziyang Liu , William Merrill , Paul Mooney , Dewey A. Murdick , Devvret Rishi , Jerry Sheehan , Zhihong Shen , Brandon Stilson , Alex D. Wade , Kuansan Wang , Chris Wilhelm , Boya Xie , Douglas Raymond , Daniel S. Weld , Oren Etzioni , and Sebastian Kohlmeier . CORD-19: the covid-19 open research dataset. CoRR, abs\/2004.10706 , 2020 . URL https:\/\/arxiv.org\/abs\/2004.10706. Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, and Sebastian Kohlmeier. CORD-19: the covid-19 open research dataset. CoRR, abs\/2004.10706, 2020. 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