{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:00:25Z","timestamp":1740099625349,"version":"3.37.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030474256"},{"type":"electronic","value":"9783030474263"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-47426-3_21","type":"book-chapter","created":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T06:02:49Z","timestamp":1588917769000},"page":"261-274","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["What\u2019s in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2393-6229","authenticated-orcid":false,"given":"Jaron","family":"Mar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0824-0899","authenticated-orcid":false,"given":"Jiamou","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,6]]},"reference":[{"issue":"7","key":"21_CR1","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1177\/0956797612470958","volume":"24","author":"M Abadie","year":"2013","unstructured":"Abadie, M., Waroquier, L., Terrier, P.: Gist memory in the unconscious-thought effect. Psychol. Sci. 24(7), 1253\u20131259 (2013)","journal-title":"Psychol. Sci."},{"key":"21_CR2","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1162\/tacl_a_00051","volume":"5","author":"P Bojanowski","year":"2017","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135\u2013146 (2017)","journal-title":"Trans. Assoc. Comput. Linguist."},{"issue":"1","key":"21_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/0273-2297(90)90003-M","volume":"10","author":"CJ Brainerd","year":"1990","unstructured":"Brainerd, C.J., Reyna, V.F.: Gist is the grist: fuzzy-trace theory and the new intuitionism. Dev. Rev. 10(1), 3\u201347 (1990)","journal-title":"Dev. Rev."},{"key":"21_CR5","doi-asserted-by":"crossref","unstructured":"Brainerd, C.J., Reyna, V.F.: Fuzzy-trace theory: Dual processes in memory, reasoning, and cognitive neuroscience (2001)","DOI":"10.1016\/S0065-2407(02)80062-3"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Douze, M., J\u00e9gou, H., Sandhawalia, H., Amsaleg, L., Schmid, C.: Evaluation of gist descriptors for web-scale image search. In: Proceedings of the ACM International Conference on Image and Video Retrieval, pp. 1\u20138 (2009)","DOI":"10.1145\/1646396.1646421"},{"issue":"4","key":"21_CR7","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1109\/TPAMI.2006.79","volume":"28","author":"L Fei-Fei","year":"2006","unstructured":"Fei-Fei, L., Fergus, R., Perona, P.: One-shot learning of object categories. IEEE Trans. Pattern Anal. Mach. Intell. 28(4), 594\u2013611 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"21_CR8","unstructured":"Finn, C., Abbeel, P., Levine, S.: Model-agnostic meta-learning for fast adaptation of deep networks. CoRR abs\/1703.03400 (2017). \nhttp:\/\/arxiv.org\/abs\/1703.03400"},{"issue":"2","key":"21_CR9","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1037\/0033-295X.114.2.211","volume":"114","author":"TL Griffiths","year":"2007","unstructured":"Griffiths, T.L., Steyvers, M., Tenenbaum, J.B.: Topics in semantic representation. Psychol. Rev. 114(2), 211 (2007)","journal-title":"Psychol. Rev."},{"key":"21_CR10","unstructured":"Hu, S., Leung, C.W., Leung, H.F., Liu, J.: To be big picture thinker or detail-oriented?: utilizing perceived gist information to achieve efficient convention emergence with bilateralism and multilateralism. In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, pp. 2021\u20132023 (2019)"},{"key":"21_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/BFb0026683","volume-title":"Machine Learning: ECML-98","author":"T Joachims","year":"1998","unstructured":"Joachims, T.: Text categorization with support vector machines: learning with many relevant features. In: N\u00e9dellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137\u2013142. Springer, Heidelberg (1998). \nhttps:\/\/doi.org\/10.1007\/BFb0026683"},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1108\/eb026526","volume":"28","author":"KS Jones","year":"1972","unstructured":"Jones, K.S.: A statistical interpretation of term specificity and its application in retrieval. J. Doc. 28, 11\u201321 (1972)","journal-title":"J. Doc."},{"key":"21_CR13","unstructured":"Kusner, M., Sun, Y., Kolkin, N., Weinberger, K.: From word embeddings to document distances. In: International Conference on Machine Learning, pp. 957\u2013966 (2015)"},{"key":"21_CR14","unstructured":"Lee, M.D., Pincombe, B., Welsh, M.: A comparison of machine measures of text document similarity with human judgments. In: 27th Annual Meeting of the Cognitive Science Society (CogSci 2005), pp. 1254\u20131259 (2005)"},{"issue":"8","key":"21_CR15","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1080\/09658210601008957","volume":"14","author":"J Michael Lampinen","year":"2006","unstructured":"Michael Lampinen, J., Leding, J.K., Reed, K.B., Odegard, T.N.: Global gist extraction in children and adults. Memory 14(8), 952\u2013964 (2006)","journal-title":"Memory"},{"key":"21_CR16","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint \narXiv:1301.3781\n\n (2013)"},{"issue":"6","key":"21_CR17","first-page":"687","volume":"16","author":"JS Neuschatz","year":"2002","unstructured":"Neuschatz, J.S., Lampinen, J.M., Preston, E.L., Hawkins, E.R., Toglia, M.P.: The effect of memory schemata on memory and the phenomenological experience of naturalistic situations. Appl. Cogn. Psychol. Offic. J. Soc. Appl. Res. Memory Cogn. 16(6), 687\u2013708 (2002)","journal-title":"Appl. Cogn. Psychol. Offic. J. Soc. Appl. Res. Memory Cogn."},{"key":"21_CR18","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/3-540-45011-4_34","volume-title":"Computational Processing of the Portuguese Language","author":"TAS Pardo","year":"2003","unstructured":"Pardo, T.A.S., Rino, L.H.M., Nunes, M.G.V.: GistSumm: a summarization tool based on a new extractive method. In: Mamede, N.J., Trancoso, I., Baptista, J., das Gra\u00e7as Volpe Nunes, M. (eds.) PROPOR 2003. LNCS (LNAI), vol. 2721, pp. 210\u2013218. Springer, Heidelberg (2003). \nhttps:\/\/doi.org\/10.1007\/3-540-45011-4_34"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"21_CR20","unstructured":"Peters, M.E., et al.: Deep contextualized word representations. arXiv preprint \narXiv:1802.05365\n\n (2018)"},{"key":"21_CR21","unstructured":"Raunak, V.: Simple and effective dimensionality reduction for word embeddings. arXiv preprint \narXiv:1708.03629\n\n (2017)"},{"key":"21_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/3-540-61859-7_14","volume-title":"Advances in Artificial Intelligence","author":"LHM Rino","year":"1996","unstructured":"Rino, L.H.M., Scott, D.: A discourse model for gist preservation. In: Borges, D.L., Kaestner, C.A.A. (eds.) SBIA 1996. LNCS, vol. 1159, pp. 131\u2013140. Springer, Heidelberg (1996). \nhttps:\/\/doi.org\/10.1007\/3-540-61859-7_14"},{"key":"21_CR23","unstructured":"Snell, J., Swersky, K., Zemel, R.S.: Prototypical networks for few-shot learning. CoRR abs\/1703.05175 (2017). \nhttp:\/\/arxiv.org\/abs\/1703.05175"},{"key":"21_CR24","doi-asserted-by":"crossref","unstructured":"Yang, Z., Yang, D., Dyer, C., He, X., Smola, A., Hovy, E.: Hierarchical attention networks for document classification. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1480\u20131489 (2016)","DOI":"10.18653\/v1\/N16-1174"},{"key":"21_CR25","unstructured":"Zipf, G.K.: Selected studies of the principle of relative frequency in language (1932)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-47426-3_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T08:11:29Z","timestamp":1588925489000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-47426-3_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030474256","9783030474263"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-47426-3_21","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":"6 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","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":"11 May 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pakdd2020.org\/","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":"CMT System","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"628","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":"135","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":"21% - 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":"3-4","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":"6-8","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}