{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:28:19Z","timestamp":1743042499087,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030322328"},{"type":"electronic","value":"9783030322335"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-32233-5_10","type":"book-chapter","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T22:04:51Z","timestamp":1569967491000},"page":"117-129","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Neural Response Generation with Relevant Emotions for Short Text Conversation"],"prefix":"10.1007","author":[{"given":"Zhongxia","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruihua","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian-Yun","family":"Nie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiting","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuzheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,30]]},"reference":[{"key":"10_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-319-76941-7_12","volume-title":"Advances in Information Retrieval","author":"N Asghar","year":"2018","unstructured":"Asghar, N., Poupart, P., Hoey, J., Jiang, X., Mou, L.: Affective neural response generation. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds.) ECIR 2018. LNCS, vol. 10772, pp. 154\u2013166. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-76941-7_12"},{"key":"10_CR2","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: ICLR (2015)"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Cho, K., Merrienboer, B.V., G\u00fcl\u00e7ehre, \u00c7., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: EMNLP, pp. 1724\u20131734 (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"10_CR4","unstructured":"Chung, J., G\u00fcl\u00e7ehre, \u00c7., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR abs\/1412.3555 (2014)"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Colombo, P., Witon, W., Modi, A., Kennedy, J., Kapadia, M.: Affect-driven dialog generation. In: NAACL-HLT, pp. 3734\u20133743 (2019)","DOI":"10.18653\/v1\/N19-1374"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Ekman, P., Friesen, W.V., Ellsworth, P.: What emotion categories can observers judge from facial behavior? In: Emotion in the Human Face, pp. 67\u201375 (1972)","DOI":"10.1016\/B978-0-08-016643-8.50025-2"},{"issue":"5","key":"10_CR7","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1037\/h0031619","volume":"76","author":"JL Fleiss","year":"1971","unstructured":"Fleiss, J.L.: Measuring nominal scale agreement among many raters. Psychol. Bull. 76(5), 378 (1971)","journal-title":"Psychol. Bull."},{"key":"10_CR8","unstructured":"Hu, B., Lu, Z., Li, H., Chen, Q.: Convolutional neural network architectures for matching natural language sentences. In: NIPS, pp. 2042\u20132050 (2014)"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Huang, C., Zaiane, O., Trabelsi, A., Dziri, N.: Automatic dialogue generation with expressed emotions. In: NAACL HLT, pp. 49\u201354 (2018)","DOI":"10.18653\/v1\/N18-2008"},{"key":"10_CR10","unstructured":"Ji, Z., Lu, Z., Li, H.: An information retrieval approach to short text conversation. CoRR abs\/1408.6988 (2014)"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: EMNLP (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Lubis, N., Sakti, S., Yoshino, K., Nakamura, S.: Eliciting positive emotion through affect-sensitive dialogue response generation: a neural network approach. In: AAAI (2018)","DOI":"10.1609\/aaai.v32i1.11955"},{"key":"10_CR13","unstructured":"Ritter, A., Cherry, C., Dolan, W.B.: Data-driven response generation in social media. In: EMNLP, pp. 583\u2013593 (2011)"},{"key":"10_CR14","unstructured":"Shang, L., Lu, Z., Li, H.: Neural responding machine for short-text conversation. In: ACL, pp. 1577\u20131586 (2015)"},{"key":"10_CR15","unstructured":"Shang, L., Sakai, T., Lu, Z., Li, H., Higashinaka, R., Miyao, Y.: Overview of the NTCIR-12 short text conversation task. In: Proceedings of NTCIR-12, pp. 473\u2013484 (2016)"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Sordoni, A., et al.: A neural network approach to context-sensitive generation of conversational responses. In: NAACL HLT, pp. 196\u2013205 (2015)","DOI":"10.3115\/v1\/N15-1020"},{"key":"10_CR17","unstructured":"Vinyals, O., Le, Q.: A neural conversational model. arXiv:1506.05869 (2015)"},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Wang, Y., Huang, M., Zhu, X., Zhao, L.: Attention-based LSTM for aspect-level sentiment classification. In: EMNLP, pp. 606\u2013615 (2016)","DOI":"10.18653\/v1\/D16-1058"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Yan, R., Song, Y., Wu, H.: Learning to respond with deep neural networks for retrieval-based human-computer conversation system. In: SIGIR, pp. 55\u201364 (2016)","DOI":"10.1145\/2911451.2911542"},{"key":"10_CR20","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-319-18458-6_7","volume-title":"Advances in Social Media Analysis","author":"Z Yuan","year":"2015","unstructured":"Yuan, Z., Purver, M.: Predicting emotion labels for chinese microblog texts. In: Gaber, M.M., Cocea, M., Wiratunga, N., Goker, A. (eds.) Advances in Social Media Analysis. SCI, vol. 602, pp. 129\u2013149. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-18458-6_7"},{"key":"10_CR21","unstructured":"Zeiler, M.D.: ADADELTA: an adaptive learning rate method. arXiv:1212.5701 (2012)"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, M., Hurley, N.: Avoiding monotony: improving the diversity of recommendation lists. In: The 2nd ACM Conference on Recommender Systems (2008)","DOI":"10.1145\/1454008.1454030"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Zhou, H., Huang, M., Zhang, T., Zhu, X., Liu, B.: Emotional chatting machine: emotional conversation generation with internal and external memory. In: AAAI (2018)","DOI":"10.1609\/aaai.v32i1.11325"},{"key":"10_CR24","doi-asserted-by":"crossref","unstructured":"Zhou, P., et al.: Attention-based bidirectional long short-term memory networks for relation classification. In: ACL (2016)","DOI":"10.18653\/v1\/P16-2034"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Zhou, X., Wang, W.Y.: MojiTalk: generating emotional responses at scale. In: ACL, pp. 1128\u20131137 (2018)","DOI":"10.18653\/v1\/P18-1104"}],"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\/978-3-030-32233-5_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:03:55Z","timestamp":1710353035000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32233-5_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322328","9783030322335"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32233-5_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"30 September 2019","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":"Dunhuang","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2019\/","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":"492","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":"85","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":"56","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":"17% - 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":"3","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)"}}]}}