{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:26:38Z","timestamp":1743053198909,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031171192"},{"type":"electronic","value":"9783031171208"}],"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\/978-3-031-17120-8_46","type":"book-chapter","created":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T13:02:58Z","timestamp":1663938178000},"page":"593-605","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Teaching Text Classification Models Some Common Sense via\u00a0Q &A Statistics: A Light and\u00a0Transplantable Approach"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5004-9756","authenticated-orcid":false,"given":"Hanqing","family":"Tao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2870-2237","authenticated-orcid":false,"given":"Guanqi","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4246-5386","authenticated-orcid":false,"given":"Tong","family":"Xu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6956-5550","authenticated-orcid":false,"given":"Qi","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4835-4102","authenticated-orcid":false,"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"key":"46_CR1","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1108\/AJIM-01-2019-0002","volume":"71","author":"Z Bao","year":"2019","unstructured":"Bao, Z., Han, Z.: What drives users\u2019 participation in online social q &a communities? an empirical study based on social cognitive theory. Aslib J. Inf. Manag. 71, 637\u2013656 (2019)","journal-title":"Aslib J. Inf. Manag."},{"issue":"3","key":"46_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102481","volume":"58","author":"W Cunha","year":"2021","unstructured":"Cunha, W., et al.: On the cost-effectiveness of neural and non-neural approaches and representations for text classification: a comprehensive comparative study. Inf. Process. Manage. 58(3), 102481 (2021)","journal-title":"Inf. Process. Manage."},{"key":"46_CR3","doi-asserted-by":"crossref","unstructured":"Davison, J., Feldman, J., Rush, A.M.: Commonsense knowledge mining from pretrained models. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 1173\u20131178 (2019)","DOI":"10.18653\/v1\/D19-1109"},{"key":"46_CR4","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171\u20134186 (2019)"},{"key":"46_CR5","unstructured":"Weiner, J.A., Simpson, E.S.C.: Oxford English Dictionary (1989)"},{"issue":"2","key":"46_CR6","first-page":"9","volume":"3","author":"E Fischbein","year":"1982","unstructured":"Fischbein, E.: Intuition and proof. Learn. Math. 3(2), 9\u201324 (1982)","journal-title":"Learn. Math."},{"issue":"2","key":"46_CR7","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1207\/s1532690xci1202_4","volume":"12","author":"D Hammer","year":"1994","unstructured":"Hammer, D.: Epistemological beliefs in introductory physics. Cogn. Instr. 12(2), 151\u2013183 (1994)","journal-title":"Cogn. Instr."},{"issue":"8","key":"46_CR8","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"46_CR9","doi-asserted-by":"crossref","unstructured":"Hotho, A., N\u00fcrnberger, A., Paa\u00df, G.: A brief survey of text mining. In: LDV Forum. vol. 20, pp. 19\u201362. Citeseer (2005)","DOI":"10.21248\/jlcl.20.2005.68"},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1746\u20131751. Association for Computational Linguistics (2014)","DOI":"10.3115\/v1\/D14-1181"},{"issue":"1","key":"46_CR11","doi-asserted-by":"publisher","first-page":"18","DOI":"10.3390\/e23010018","volume":"23","author":"P Linardatos","year":"2021","unstructured":"Linardatos, P., Papastefanopoulos, V., Kotsiantis, S.: Explainable AI: a review of machine learning interpretability methods. Entropy 23(1), 18 (2021)","journal-title":"Entropy"},{"issue":"1\u20132","key":"46_CR12","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/0004-3702(80)90011-9","volume":"13","author":"J McCarthy","year":"1980","unstructured":"McCarthy, J.: Circumscription-a form of non-monotonic reasoning. Artif. Intell. 13(1\u20132), 27\u201339 (1980)","journal-title":"Artif. Intell."},{"key":"46_CR13","doi-asserted-by":"crossref","unstructured":"Peters, M., et al.: Deep contextualized word representations. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pp. 2227\u20132237 (2018)","DOI":"10.18653\/v1\/N18-1202"},{"key":"46_CR14","doi-asserted-by":"crossref","unstructured":"Rajagopal, D., Olsher, D., Cambria, E., Kwok, K.: Commonsense-based topic modeling. In: Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, pp. 1\u20138 (2013)","DOI":"10.1145\/2502069.2502075"},{"key":"46_CR15","doi-asserted-by":"crossref","unstructured":"Sap, M., Horvitz, E., Choi, Y., Smith, N.A., Pennebaker, J.W.: Recollection versus imagination: exploring human memory and cognition via neural language models. In: Association for Computational Linguistics (2020)","DOI":"10.18653\/v1\/2020.acl-main.178"},{"key":"46_CR16","unstructured":"Singh, P., et al.: The public acquisition of commonsense knowledge. In: Proceedings of AAAI Spring Symposium: Acquiring (and Using) Linguistic (and World) Knowledge for Information Access (2002)"},{"issue":"3","key":"46_CR17","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1037\/0033-295X.114.3.577","volume":"114","author":"NA Taatgen","year":"2007","unstructured":"Taatgen, N.A., Van Rijn, H., Anderson, J.: An integrated theory of prospective time interval estimation: the role of cognition, attention, and learning. Psychol. Rev. 114(3), 577 (2007)","journal-title":"Psychol. Rev."},{"issue":"6022","key":"46_CR18","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1126\/science.1192788","volume":"331","author":"JB Tenenbaum","year":"2011","unstructured":"Tenenbaum, J.B., Kemp, C., Griffiths, T.L., Goodman, N.D.: How to grow a mind: statistics, structure, and abstraction. Science 331(6022), 1279\u20131285 (2011)","journal-title":"Science"},{"key":"46_CR19","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, pp. 5998\u20136008 (2017)"},{"key":"46_CR20","doi-asserted-by":"crossref","unstructured":"Xin, Y., Lieberman, H., Chin, P.: Patchcomm: using commonsense knowledge to guide syntactic parsers. In: Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning, vol. 18, pp. 712\u2013716 (2021)","DOI":"10.24963\/kr.2021\/75"},{"key":"46_CR21","doi-asserted-by":"crossref","unstructured":"Yatskar, M., Ordonez, V., Farhadi, A.: Stating the obvious: extracting visual common sense knowledge. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 193\u2013198 (2016)","DOI":"10.18653\/v1\/N16-1023"},{"key":"46_CR22","doi-asserted-by":"crossref","unstructured":"Yuan, Q., Cong, G., Thalmann, N.M.: Enhancing Naive Bayes with various smoothing methods for short text classification. In: Proceedings of the 21st International Conference on World Wide Web, pp. 645\u2013646 (2012)","DOI":"10.1145\/2187980.2188169"},{"key":"46_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Han, X., Liu, Z., Jiang, X., Sun, M., Liu, Q.: Ernie: enhanced language representation with informative entities. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 1441\u20131451 (2019)","DOI":"10.18653\/v1\/P19-1139"},{"key":"46_CR24","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Xu, B., Xu, J., Yang, L., Li, C.: Compositional recurrent neural networks for Chinese short text classification. In: 2016 IEEE\/WIC\/ACM International Conference on Web Intelligence (WI), pp. 137\u2013144. IEEE (2016)","DOI":"10.1109\/WI.2016.0029"}],"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\/978-3-031-17120-8_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T07:02:43Z","timestamp":1676876563000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17120-8_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031171192","9783031171208"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17120-8_46","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)"}}]}}