{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:02:16Z","timestamp":1742932936920,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031328824"},{"type":"electronic","value":"9783031328831"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-32883-1_11","type":"book-chapter","created":{"date-parts":[[2023,5,21]],"date-time":"2023-05-21T23:03:16Z","timestamp":1684710196000},"page":"124-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Extraction of\u00a0Domain Models from\u00a0Textbook Indexes for\u00a0Developing Intelligent Tutoring Systems"],"prefix":"10.1007","author":[{"given":"Rabin","family":"Banjade","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priti","family":"Oli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasile","family":"Rus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,22]]},"reference":[{"issue":"1\u20132","key":"11_CR1","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1080\/13614568.2021.1889692","volume":"27","author":"I Alpizar-Chacon","year":"2021","unstructured":"Alpizar-Chacon, I., Sosnovsky, S.: Knowledge models from pdf textbooks. New Rev. Hypermedia Multimed. 27(1\u20132), 128\u2013176 (2021)","journal-title":"New Rev. Hypermedia Multimed."},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Banjade, R.: Domain model discovery from textbooks for computer programming intelligent tutors. In: FLAIRS Conference Proceedings, p. 34 (2021)","DOI":"10.32473\/flairs.v34i1.128561"},{"key":"11_CR3","unstructured":"Banjade, R., Oli, P., Tamang, L.J., Rus, V.: Preliminary experiments with transformer based approaches to automatically inferring domain models from textbooks. In: Proceedings of the 15th International Conference on Educational Data Mining, p. 667 (2022)"},{"issue":"4","key":"11_CR4","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1007\/s40593-020-00207-1","volume":"31","author":"H Chau","year":"2021","unstructured":"Chau, H., Labutov, I., Thaker, K., He, D., Brusilovsky, P.: Automatic concept extraction for domain and student modeling in adaptive textbooks. Int. J. Artif. Intell. Educ. 31(4), 820\u2013846 (2021)","journal-title":"Int. J. Artif. Intell. Educ."},{"key":"11_CR5","unstructured":"Cohen, W.W., Ravikumar, P., Fienberg, S.E., et al.: A comparison of string distance metrics for name-matching tasks. In: IIWeb, vol. 3, pp. 73\u201378 (2003)"},{"key":"11_CR6","unstructured":"Daniel Liang, Y.: Introduction to java programming (2007)"},{"key":"11_CR7","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"11_CR8","doi-asserted-by":"publisher","unstructured":"Grootendorst, M.: Polyfuzz: fuzzy string matching, grouping, and evaluation (2020). https:\/\/doi.org\/10.5281\/zenodo.4461050","DOI":"10.5281\/zenodo.4461050"},{"key":"11_CR9","doi-asserted-by":"publisher","unstructured":"Hj\u00f8rland, B.: What is knowledge organization (KO)? Knowl. Organ. 35 (2008). https:\/\/doi.org\/10.5771\/0943-7444-2008-2-3-86","DOI":"10.5771\/0943-7444-2008-2-3-86"},{"key":"11_CR10","unstructured":"Horstmann, C.S.: Big Java: Early Objects. John Wiley & Sons, Hoboken (2016)"},{"key":"11_CR11","unstructured":"Hosseini, R., Brusilovsky, P.: Javaparser: a fine-grain concept indexing tool for java problems. In: CEUR Workshop Proceedings, vol. 1009, pp. 60\u201363 (2013)"},{"key":"11_CR12","first-page":"269","volume":"2020","author":"Z Ji","year":"2020","unstructured":"Ji, Z., Wei, Q., Xu, H.: Bert-based ranking for biomedical entity normalization. AMIA Summits Transl. Sci. Proc. 2020, 269 (2020)","journal-title":"AMIA Summits Transl. Sci. Proc."},{"key":"11_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1007\/3-540-47987-2_79","volume-title":"Intelligent Tutoring Systems","author":"AN Kumar","year":"2002","unstructured":"Kumar, A.N.: Model-based reasoning for domain modeling in a web-based intelligent tutoring system to help students learn to debug C++ programs. In: Cerri, S.A., Gouard\u00e8res, G., Paragua\u00e7u, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 792\u2013801. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-47987-2_79"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Li, B., Zhou, H., He, J., Wang, M., Yang, Y., Li, L.: On the sentence embeddings from pre-trained language models. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 9119\u20139130 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.733"},{"issue":"11","key":"11_CR15","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller, G.A.: Wordnet: a lexical database for English. Commun. ACM 38(11), 39\u201341 (1995)","journal-title":"Commun. ACM"},{"issue":"1","key":"11_CR16","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1145\/375360.375365","volume":"33","author":"G Navarro","year":"2001","unstructured":"Navarro, G.: A guided tour to approximate string matching. ACM Comput. Surv. (CSUR) 33(1), 31\u201388 (2001)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"11_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1007\/978-3-642-13437-1_80","volume-title":"Intelligent Tutoring Systems","author":"AM Olney","year":"2010","unstructured":"Olney, A.M.: Extraction of concept maps from textbooks for domain modeling. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010. LNCS, vol. 6095, pp. 390\u2013392. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13437-1_80"},{"key":"11_CR18","unstructured":"Paul, D., Harvey, D.: Java-how to program (2012)"},{"key":"11_CR19","unstructured":"Recchia, G., Louwerse, M.M.: A comparison of string similarity measures for toponym matching. Comp. J. South. Comp. Lit. Assoc. (2013)"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Rivers, K., Harpstead, E., Koedinger, K.R.: Learning curve analysis for programming: which concepts do students struggle with? In: ICER, vol. 16, pp. 143\u2013151 (2016)","DOI":"10.1145\/2960310.2960333"},{"key":"11_CR21","unstructured":"Seehorn, D., et al.: CSTA k-12 computer science standards: Revised 2011. Technical report, New York, NY, USA (2011)"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Tew, A.E., Guzdial, M.: Developing a validated assessment of fundamental cs1 concepts. In: Proceedings of the 41st ACM Technical Symposium on Computer Science Education, pp. 97\u2013101 (2010)","DOI":"10.1145\/1734263.1734297"},{"key":"11_CR23","doi-asserted-by":"crossref","unstructured":"Wang, S., Thompson, L., Iyyer, M.: Phrase-bert: improved phrase embeddings from bert with an application to corpus exploration. In: EMNLP, pp. 10837\u201310851 (2021)","DOI":"10.18653\/v1\/2021.emnlp-main.846"},{"key":"11_CR24","doi-asserted-by":"crossref","unstructured":"Wu, Z., Li, Z., Mitra, P., Giles, C.L.: Can back-of-the-book indexes be automatically created? In: Proceedings of the 22nd ACM international conference on Information & Knowledge Management, pp. 1745\u20131750 (2013)","DOI":"10.1145\/2505515.2505627"},{"issue":"1","key":"11_CR25","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1207\/S15328023TOP2701_1","volume":"27","author":"JS Zechmeister","year":"2000","unstructured":"Zechmeister, J.S., Zechmeister, E.B.: Introductory textbooks and psychology\u2019s core concepts. Teach. Psychol. 27(1), 6\u201311 (2000)","journal-title":"Teach. Psychol."},{"key":"11_CR26","unstructured":"Zhang, Y., Baldridge, J., He, L.: Paws: Paraphrase adversaries from word scrambling. arXiv preprint arXiv:1904.01130 (2019)"}],"container-title":["Lecture Notes in Computer Science","Augmented Intelligence and Intelligent Tutoring Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-32883-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,21]],"date-time":"2023-05-21T23:08:22Z","timestamp":1684710502000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-32883-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031328824","9783031328831"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-32883-1_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ITS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Tutoring Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Corfu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"its2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iis-international.org\/its2023\/","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":"Easy chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"84","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":"41","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":"19","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":"49% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}