{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:23:34Z","timestamp":1742912614810,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031171888"},{"type":"electronic","value":"9783031171895"}],"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\/978-3-031-17189-5_32","type":"book-chapter","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T23:20:50Z","timestamp":1663975250000},"page":"351-357","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Overview of the NLPCC 2022 Shared Task: Dialogue Text Analysis (DTA)"],"prefix":"10.1007","author":[{"given":"Qingliang","family":"Miao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Guan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fujiang","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"issue":"2","key":"32_CR1","first-page":"36","volume":"20","author":"A Trivedi","year":"2018","unstructured":"Trivedi, A., Pant, N., Shah, P., Sonik, S., Agrawal, S.: Speech to text and text to speech recognition systems-a review. IOSR J. Comput. Eng 20(2), 36\u201343 (2018)","journal-title":"IOSR J. Comput. Eng"},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Wang, L., Yao, J., Tao, Y., Zhong, L., Liu, W., Du, Q.: A reinforced topic-aware convolutional sequence-to-sequence model for abstractive text summarization. In: IJCAI 2018: Proceedings of the 27th International Joint Conference on Artificial Intelligence","DOI":"10.24963\/ijcai.2018\/619"},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"El-Kassas, W.S., Salama, C., Rafea, A., Mohamed, H.K.: Automatic text summarization: a Comprehensive Survey. Expert Systems With Applications (2020)","DOI":"10.1016\/j.eswa.2020.113679"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Liu, J., et al.: Topic-aware contrastive learning for abstractive dialogue summarization. In: Findings of the Association for Computational Linguistics: EMNLP (2021)","DOI":"10.18653\/v1\/2021.findings-emnlp.106"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Xu, Y., Zhao, H., Zhang, Z.: Topic-aware multi-turn dialogue modeling. In: Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) (2021)","DOI":"10.1609\/aaai.v35i16.17668"},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Zou, Y., et al.: Topic-Oriented spoken dialogue summarization for customer service with saliency-aware topic modeling. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 14665\u201314673 (2021)","DOI":"10.1609\/aaai.v35i16.17723"},{"key":"32_CR7","unstructured":"Mihalcea, R., Tarau, P.: Textrank: bringing order into text. In: Proceedings of the Empirical Methods in Natural Language Processing (2004)"},{"key":"32_CR8","doi-asserted-by":"crossref","unstructured":"Cheng, J., Lapata, M.: Neural summarization by extracting sentences and words. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/P16-1046"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Nallapati, R., Zhai, F., Zhou, B.: SummaRuNNer: a recurrent neural network based sequence model for extractive summarization of documents. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017)","DOI":"10.1609\/aaai.v31i1.10958"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Computation (1997)","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"32_CR11","unstructured":"Lewis, M., et al.: Bart: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Z., Ng, A., Lee, S., Aw, A., Chen, N.F.: Topic-aware pointer-generator networks for summarizing spoken conversations. In: Proceedings of the 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","DOI":"10.1109\/ASRU46091.2019.9003764"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Goo, C.W., Chen, Y.N.: Abstractive dialogue summarization with sentence-gated modeling optimized by dialogue acts. In: Proceedings of the 2018 IEEE Spoken Language Technology Workshop (SLT)","DOI":"10.1109\/SLT.2018.8639531"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Chen, J., Yang, D.: Multi-View sequence-to-sequence models with conversational structure for abstractive dialogue summarization. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","DOI":"10.18653\/v1\/2020.emnlp-main.336"},{"key":"32_CR15","unstructured":"Lin C Y . ROUGE: Recall-Oriented Understudy for Gisting Evaluation (2003)"}],"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\/978-3-031-17189-5_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T23:26:29Z","timestamp":1663975589000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17189-5_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031171888","9783031171895"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17189-5_32","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)"}}]}}