{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T09:22:04Z","timestamp":1742980924667,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030553920"},{"type":"electronic","value":"9783030553937"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-55393-7_22","type":"book-chapter","created":{"date-parts":[[2020,8,19]],"date-time":"2020-08-19T23:12:32Z","timestamp":1597878752000},"page":"238-249","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["How to Interact and Change? Abstractive Dialogue Summarization with Dialogue Act Weight and Topic Change Info"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3775-9518","authenticated-orcid":false,"given":"Jiasheng","family":"Di","sequence":"first","affiliation":[]},{"given":"Xiao","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Zhenyu","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Rush, A.M., Chopra, S., Weston, J.: A neural attention model for abstractive sentence summarization. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (2015)","DOI":"10.18653\/v1\/D15-1044"},{"key":"22_CR2","unstructured":"Ang, J., Yang, L., Shriberg, E.: Automatic dialog act segmentation and classification in multiparty meetings (2015)"},{"issue":"1","key":"22_CR3","first-page":"1","volume":"3","author":"H Bunt","year":"1970","unstructured":"Bunt, H.: Context and dialogue control. Think Q. 3(1), 1\u201339 (1970)","journal-title":"Think Q."},{"key":"22_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/11677482_3","volume-title":"Machine Learning for Multimodal Interaction","author":"J Carletta","year":"2006","unstructured":"Carletta, J., et al.: The AMI meeting corpus: a pre-announcement. In: Renals, S., Bengio, S. (eds.) MLMI 2005. LNCS, vol. 3869, pp. 28\u201339. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11677482_3"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Chen, X., Gao, S., Tao, C., Song, Y., Yan, R.: Iterative document representation learning towards summarization with polishing (2018)","DOI":"10.18653\/v1\/D18-1442"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Chen, Y.N., Huang, Y., Kong, S.Y., Lee, L.S.: Automatic key term extraction from spoken course lectures using branching entropy and prosodic\/semantic features. In: Spoken Language Technology Workshop (2011)","DOI":"10.1109\/SLT.2010.5700862"},{"key":"22_CR7","unstructured":"Chen, Y.N., Metze, F.: Intra-speaker topic modeling for improved multi-party meeting summarization with integrated random walk. In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2012)"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Chopra, S., Auli, M., Rush, A.M.: Abstractive sentence summarization with attentive recurrent neural networks. In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2016)","DOI":"10.18653\/v1\/N16-1012"},{"key":"22_CR9","unstructured":"Flick, C.: Rouge: a package for automatic evaluation of summaries. In: Workshop on Text Summarization Branches Out (2004)"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Gao, S., Chen, X., Li, P., Ren, Z., Yan, R.: Abstractive text summarization by incorporating reader comments (2018)","DOI":"10.1609\/aaai.v33i01.33016399"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Goo, C.W., Chen, Y.N.: Abstractive dialogue summarization with sentence-gated modeling optimized by dialogue acts (2018)","DOI":"10.1109\/SLT.2018.8639531"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Gu, J., Lu, Z., Hang, L., Li, V.O.K.: Incorporating copying mechanism in sequence-to-sequence learning (2016)","DOI":"10.18653\/v1\/P16-1154"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Harwath, D., Hazen, T.J.: Topic identification based extrinsic evaluation of summarization techniques applied to conversational speech. In: IEEE International Conference on Acoustics (2012)","DOI":"10.1109\/ICASSP.2012.6289061"},{"key":"22_CR14","unstructured":"Hermann, K.M., et al.: Teaching machines to read and comprehend (2015)"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Hsu, W.T., Lin, C.K., Lee, M.Y., Min, K., Sun, M.: A unified model for extractive and abstractive summarization using inconsistency loss (2018)","DOI":"10.18653\/v1\/P18-1013"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Hu, B., Chen, Q., Zhu, F.: LCSTS: a large scale Chinese short text summarization dataset. Computer Science, pp. 2667\u20132671 (2015)","DOI":"10.18653\/v1\/D15-1229"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Samuel, K., Carberry, S., Vijay-Shanker, K.: Dialogue act tagging with transformation-based learning. In: Proceedings of COLING (1998)","DOI":"10.3115\/980432.980757"},{"key":"22_CR18","unstructured":"Kl\u00fcwer, T., Uszkoreit, H., Xu, F.: Using syntactic and semantic based relations for dialogue act recognition. In: International Conference on Computational Linguistics: Posters (2010)"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"K\u00e5geb\u00e4ck, M., Mogren, O., Tahmasebi, N., Dubhashi, D.: Extractive summarization using continuous vector space models. In: CVSC at EACL (2014)","DOI":"10.3115\/v1\/W14-1504"},{"key":"22_CR20","unstructured":"Li, W., Yao, J., Tao, Y., Li, Z., Qiang, D.: A reinforced topic-aware convolutional sequence-to-sequence model for abstractive text summarization. In: Twenty-Seventh International Joint Conference on Artificial Intelligence IJCAI 2018 (2018)"},{"key":"22_CR21","doi-asserted-by":"crossref","unstructured":"Lin, J., Xu, S., Ma, S., Qi, S.: Global encoding for abstractive summarization (2018)","DOI":"10.18653\/v1\/P18-2027"},{"key":"22_CR22","doi-asserted-by":"crossref","unstructured":"Maskey, S., Hirschberg, J.: Comparing lexical, acoustic\/prosodic, structural and discourse features for speech summarization. In: INTERSPEECH, pp. 621\u2013624 (2005)","DOI":"10.21437\/Interspeech.2005-66"},{"issue":"3","key":"22_CR23","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1109\/TASLP.2014.2383614","volume":"23","author":"G Mesnil","year":"2015","unstructured":"Mesnil, G., Dauphin, Y., Yao, K., Bengio, Y., Zweig, G.: Using recurrent neural networks for slot filling in spoken language understanding. IEEE\/ACM Trans. Audio Speech Lang. Process. 23(3), 530\u2013539 (2015)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"22_CR24","doi-asserted-by":"crossref","unstructured":"Miao, Y., Blunsom, P.: Language as a latent variable: discrete generative models for sentence compression (2016)","DOI":"10.18653\/v1\/D16-1031"},{"key":"22_CR25","unstructured":"Nallapati, R., Xiang, B., Zhou, B.: Sequence-to-sequence RNNs for text summarization (2016)"},{"key":"22_CR26","doi-asserted-by":"crossref","unstructured":"See, A., Liu, P.J., Manning, C.D.: Get to the point: summarization with pointer-generator networks (2017)","DOI":"10.18653\/v1\/P17-1099"},{"key":"22_CR27","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks (2014)"},{"key":"22_CR28","unstructured":"Vaswani, A., et al.: Attention is all you need (2017)"},{"key":"22_CR29","unstructured":"Vinyals, O., Fortunato, M., Jaitly, N.: Pointer networks. In: International Conference on Neural Information Processing Systems (2015)"},{"key":"22_CR30","unstructured":"Yin, W., Pei, Y.: Optimizing sentence modeling and selection for document summarization. In: International Conference on Artificial Intelligence (2015)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-55393-7_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:00:31Z","timestamp":1710248431000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-55393-7_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030553920","9783030553937"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-55393-7_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"20 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hangzhou","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ksem2020.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"291","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":"58","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":"27","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":"20% - 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":"8","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}