{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:45:13Z","timestamp":1743007513152,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030782696"},{"type":"electronic","value":"9783030782702"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-78270-2_21","type":"book-chapter","created":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T17:03:12Z","timestamp":1623430992000},"page":"119-123","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Automated Model of Comprehension V2.0"],"prefix":"10.1007","author":[{"given":"Dragos-Georgian","family":"Corlatescu","sequence":"first","affiliation":[]},{"given":"Mihai","family":"Dascalu","sequence":"additional","affiliation":[]},{"given":"Danielle S.","family":"McNamara","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,12]]},"reference":[{"issue":"1","key":"21_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1207\/s1532690xci1401_1","volume":"14","author":"DS McNamara","year":"1996","unstructured":"McNamara, D.S., Kintsch, E., Songer, N.B., Kintsch, W.: Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text. Cogn. Instr. 14(1), 1\u201343 (1996)","journal-title":"Cogn. Instr."},{"key":"21_CR2","unstructured":"Kintsch, W., Welsch, D.M.: The construction-integration model: a framework for studying memory for text. In: Relating Theory and Data: Essays on Human Memory in Honor of Bennet B. Murdock., pp. 367\u2013385. Lawrence Erlbaum Associates, Inc., Hillsdale (1991)"},{"key":"21_CR3","unstructured":"Van den Broek, P., Young, M., Tzeng, Y., Linderholm, T.: The Landscape Model of Reading: Inferences and the Online Construction of a Memory Representation. The Construction of Mental Representations during Reading, pp. 71\u201398 (1999)"},{"key":"21_CR4","unstructured":"Abadi, M., et al.: Tensorflow: a system for large-scale machine learning. In: 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16), pp. 265\u2013283. {USENIX} Association, Savannah, GA, USA (2016)"},{"key":"21_CR5","unstructured":"Paszke, A., et al.: Pytorch: an imperative style, high-performance deep learning library. In: Advances in Neural Information Processing Systems, pp. 8026\u20138037, Vancouver, BC, Canada (2019)"},{"key":"21_CR6","unstructured":"Honnibal, M., Montani, I.: Spacy 2: natural language understanding with bloom embeddings. In: Convolutional Neural Networks and Incremental Parsing, vol. 7, no. 1 (2017)"},{"key":"21_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/978-3-642-39112-5_39","volume-title":"Artificial Intelligence in Education","author":"M Dascalu","year":"2013","unstructured":"Dascalu, M., Dessus, P., Trausan-Matu, \u015e, Bianco, M., Nardy, A.: ReaderBench, an environment for analyzing text complexity and reading strategies. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 379\u2013388. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39112-5_39"},{"key":"21_CR8","unstructured":"huggingface: Neuralcoref, Accessed 30 Dec 2020. https:\/\/github.com\/huggingface\/neuralcoref (2020)"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J.R., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: Proceedings of 52nd Annual Meeting of the Association for computational Linguistics: System Demonstrations, pp. 55\u201360. The Association for Computer Linguistics, Baltimore, MD, USA (2014)","DOI":"10.3115\/v1\/P14-5010"},{"key":"21_CR10","unstructured":"Wolf, T.: State-of-the-art neural coreference resolution for chatbots, Accessed 30 Dec 2020. https:\/\/medium.com\/huggingface\/state-of-the-art-neural-coreference-resolution-for-chatbots-3302365dcf30 (2017)"},{"key":"21_CR11","unstructured":"Explosion: SpaCy, Accessed 9 Feb 2021. https:\/\/spacy.io\/usage\/facts-figures#benchmarks (2016\u20132021)."},{"key":"21_CR12","unstructured":"The Stanford Natural Language Processing Group: Neural Network Dependency Parser, Accessed 9 Feb 2021. https:\/\/nlp.stanford.edu\/software\/nndep.html"},{"key":"21_CR13","unstructured":"Google: word2vec, Accessed 30 Nov 2020. https:\/\/code.google.com\/archive\/p\/word2vec\/ (2013)"},{"issue":"6","key":"21_CR14","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","volume":"41","author":"S Deerwester","year":"1990","unstructured":"Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391\u2013407 (1990)","journal-title":"J. Am. Soc. Inf. Sci."},{"issue":"4","key":"21_CR15","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1093\/llc\/fqq018","volume":"25","author":"M Davies","year":"2010","unstructured":"Davies, M.: The corpus of contemporary American English as the first reliable monitor corpus of English. Literary Linguist. Comput. 25(4), 447\u2013464 (2010)","journal-title":"Literary Linguist. Comput."},{"issue":"2","key":"21_CR16","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1057\/jt.2009.5","volume":"17","author":"B Ratner","year":"2009","unstructured":"Ratner, B.: The correlation coefficient: its values range between+1\/\u22121, or do they? J. Target. Meas. Anal. Mark. 17(2), 139\u2013142 (2009)","journal-title":"J. Target. Meas. Anal. Mark."},{"issue":"4","key":"21_CR17","doi-asserted-by":"publisher","first-page":"978","DOI":"10.3758\/s13428-012-0210-4","volume":"44","author":"V Kuperman","year":"2012","unstructured":"Kuperman, V., Stadthagen-Gonzalez, H., Brysbaert, M.: Age-of-acquisition ratings for 30,000 English words. Behav. Res. Methods 44(4), 978\u2013990 (2012)","journal-title":"Behav. Res. Methods"},{"issue":"1\u20137","key":"21_CR18","first-page":"107","volume":"30","author":"S Brin","year":"1998","unstructured":"Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Comput. Netw. 30(1\u20137), 107\u2013117 (1998)","journal-title":"Comput. Netw."},{"key":"21_CR19","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)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-78270-2_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T17:05:40Z","timestamp":1623431140000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-78270-2_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030782696","9783030782702"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-78270-2_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"12 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Utrecht","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2021.science.uu.nl\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"209","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":"40","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":"76","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":"19% - 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":"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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","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)"}}]}}