{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T04:01:05Z","timestamp":1751774465817,"version":"3.41.0"},"reference-count":17,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2025,7,1]]},"DOI":"10.1587\/transinf.2024iip0009","type":"journal-article","created":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T22:13:45Z","timestamp":1734646425000},"page":"659-666","source":"Crossref","is-referenced-by-count":0,"title":["Spotlight Contents Extraction from Text-Based Online Discussion"],"prefix":"10.1587","volume":"E108.D","author":[{"given":"Zhizhong","family":"WANG","sequence":"first","affiliation":[{"name":"Japan Advanced Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"GU","sequence":"additional","affiliation":[{"name":"Nagoya Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoxing","family":"LI","sequence":"additional","affiliation":[{"name":"University of Southampton"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koichi","family":"OTA","sequence":"additional","affiliation":[{"name":"Japan Advanced Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shinobu","family":"HASEGAWA","sequence":"additional","affiliation":[{"name":"Japan Advanced Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] R. Shortall, A. Itten, M.v.d. Meer, P. Murukannaiah, and C. Jonker, Reason against the machine? future directions for mass online deliberation, Frontiers in Political Science, vol.4, 2022. 10.3389\/fpos.2022.946589","DOI":"10.3389\/fpos.2022.946589"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] W. Gu, A. Moustafa, T. Ito, M. Zhang, and C. Yang, \u201cA Case-based Reasoning Approach for Supporting Facilitation in Online Discussions,\u201d Group Decis Negot, vol.30, pp.719-742, 2021. 10.1007\/s10726-021-09731-4","DOI":"10.1007\/s10726-021-09731-4"},{"key":"3","unstructured":"[3] T. Ito, Y. Imi, T.K. Ito, and E. Hideshima, Collagree: A faciliator-mediated large-scale consensus support system, Proc. 2nd ACM Collective Intelligence Conference, 2014."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] P. Raman, T. Avery, C. Brett, and J. Hewitt, \u201cExploring the Use of #Hashtags as an Easy Entry Solution to Enhance Online Discussions,\u201d IJEDE, vol.35, no.1, 2020.","DOI":"10.21125\/inted.2020.2050"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] S. Shiramatsu, K. Kitagawa, S. Naito, H. Koura, and C. Cai, Four approaches to developing autonomous facilitator agent for online and face-to-face public debate, In: A. Nolte, C. Alvarez, R. Hishiyama, I.-A. Chounta, M.J. Rodr\u00edguez-Triana, and T. Inoue (eds.), Collaboration Technologies and Social Computing, pp.191-200, Springer, Cham, 2020. 10.1007\/978-3-030-58157-2_15","DOI":"10.1007\/978-3-030-58157-2_15"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] H. Ishizuka, S. Shiramatsu, and K. Ono, Prototyping agents for resolving opinion biases toward facilitating sublation of conflict in web-based discussions, 2022 IEEE International Conference on Agents (ICA), pp.18-23, 2022. 10.1109\/ica55837.2022.00010","DOI":"10.1109\/ICA55837.2022.00010"},{"key":"7","unstructured":"[7] M. Klein, How to harvest collective wisdom on complex problems: An introduction to the mit deliberatorium, CCI working paper, 2011."},{"key":"8","unstructured":"[8] A. Sengoku, T. Ito, K. Takahashi, S. Shiramatsu, T. Ito, E. Hideshima, and K. Fujita, Discussion tree for managing large-scale internet-based discussions, Proc. 4th ACM Collective Intelligence Conference, 2016."},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] W. Gu, S. Kato, F. Ren, G. Su, T. Ito, and S. Hasegawa, \u201cInfluence propagation based influencer detection in online forum,\u201d IEICE Trans. Inf. & Syst., vol.106, no.4, pp.433-442, 2023. 10.1587\/transinf.2022iip0010","DOI":"10.1587\/transinf.2022IIP0010"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] N. Firoozeh, A. Nazarenko, F. Alizon, and B. Daille, \u201cKeyword Extraction: Issues and Methods,\u201d Natural Language Engineering, vol.26, no.3, pp.259-291, 2020. 10.1017\/s1351324919000457","DOI":"10.1017\/S1351324919000457"},{"key":"11","unstructured":"[11] D.M. Blei, A.Y. Ng, and M.I. Jordan, \u201cLatent dirichlet allocation,\u201d Journal of machine Learning research, pp.993-1022, Jan. 2003."},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] W.S. El-Kassas, C.R. Salama, A.A. Rafea, and H.K. Mohamed, \u201cAutomatic text summarization: A comprehensive survey,\u201d Expert Systems with Applications, vol.165, 113679, 2021. 10.1016\/j.eswa.2020.113679","DOI":"10.1016\/j.eswa.2020.113679"},{"key":"13","unstructured":"[13] H. Jin, Y. Zhang, D. Meng, J. Wang, and J. Tan, A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods, arXiv preprint arXiv:2403.02901, 2024."},{"key":"14","unstructured":"[14] T. Kudo, K. Yamamoto, and Y. Matsumoto, \u201cApplying conditional random fields to Japanese morphological analysis,\u201d Proc. EMNLP, pp.230-237, 2004."},{"key":"15","unstructured":"[15] T. Sato, T. Hashimoto, and M. Okumura, \u201cImplementation of a word segmentation dictionary called mecab-ipadic-NEologd and study on how to use it effectively for information retrieval,\u201d Proc. 23rd Annual Meeting of the Association for NLP, pp.NLP2017-B6-1, 2017 [in Japanese]."},{"key":"16","unstructured":"[16] R. Rehurek and P. Sojka, Gensim-python framework for vector space modelling, NLP Centre, Faculty of Informatics, Masaryk University, Brno, Czech Republic, vol.3, no.2, 2011."},{"key":"17","unstructured":"[17] OpenAI, Gpt-4 technical report, arXiv preprint, 2023."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E108.D\/7\/E108.D_2024IIP0009\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T03:36:06Z","timestamp":1751686566000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E108.D\/7\/E108.D_2024IIP0009\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,1]]},"references-count":17,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2024iip0009","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2025,7,1]]},"article-number":"2024IIP0009"}}