{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:51:30Z","timestamp":1742914290531,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030521516"},{"type":"electronic","value":"9783030521523"}],"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"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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\/978-3-030-52152-3_16","type":"book-chapter","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T09:03:55Z","timestamp":1594026235000},"page":"153-163","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities"],"prefix":"10.1007","author":[{"given":"Ben","family":"Goertzel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9s","family":"Su\u00e1rez-Madrigal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gino","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,6]]},"reference":[{"key":"16_CR1","first-page":"1345","volume":"6","author":"A Banerjee","year":"2005","unstructured":"Banerjee, A., Dhillon, I., Ghosh, J., Sra, S.: Clustering on the unit hypersphere using von mises-fisher distributions. J. Mach. Learn. Res. 6, 1345\u20131382 (2005)","journal-title":"J. Mach. Learn. Res."},{"key":"16_CR2","volume-title":"Statistical Language Learning","author":"E Charniak","year":"1996","unstructured":"Charniak, E.: Statistical Language Learning. MIT Press, Cambridge (1996)"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Clark, K., Khandelwal, U., Levy, O., Manning, C.D.: What Does BERT Look At? An Analysis of BERT\u2019s Attention. \narXiv:1906.04341\n\n [cs], June 2019","DOI":"10.18653\/v1\/W19-4828"},{"key":"16_CR4","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. \narXiv:1810.04805\n\n [cs] (2019)"},{"key":"16_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/978-3-030-27005-6_11","volume-title":"Artificial General Intelligence","author":"A Glushchenko","year":"2019","unstructured":"Glushchenko, A., Suarez, A., Kolonin, A., Goertzel, B., Baskov, O.: Programmatic link grammar induction for unsupervised language learning. In: Hammer, P., Agrawal, P., Goertzel, B., Ikl\u00e9, M. (eds.) AGI 2019. LNCS (LNAI), vol. 11654, pp. 111\u2013120. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-27005-6_11"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Grave, E., Elhadad, N.: A convex and feature-rich discriminative approach to dependency grammar induction. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, pp. 1375\u20131384 (2015)","DOI":"10.3115\/v1\/P15-1133"},{"key":"16_CR7","unstructured":"Hewitt, J., Manning, C.D.: A structural probe for finding syntax in word representations. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 4129\u20134138 (2019)"},{"key":"16_CR8","unstructured":"Htut, P.M., Phang, J., Bordia, S., Bowman, S.R.: Do Attention Heads in BERT Track Syntactic Dependencies? \narXiv:1911.12246\n\n [cs], November 2019"},{"issue":"1\u20132","key":"16_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/08839510701852962","volume":"22","author":"C de La Higuera","year":"2008","unstructured":"de La Higuera, C., Oates, T., van Zaanen, M.: Introduction: special issue on applications of grammatical inference. Appl. Artif. Intell. 22(1\u20132), 1\u20133 (2008)","journal-title":"Appl. Artif. Intell."},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Li, B., Cheng, J., Liu, Y., Keller, F.: Dependency grammar induction with a neural variational transition-based parser. \narXiv:1811.05889\n\n [cs], November 2018","DOI":"10.1609\/aaai.v33i01.33016658"},{"issue":"8","key":"16_CR11","first-page":"9","volume":"1","author":"A Radford","year":"2019","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I.: Language models are unsupervised multitask learners. OpenAI Blog 1(8), 9 (2019)","journal-title":"OpenAI Blog"},{"issue":"3\u20134","key":"16_CR12","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.cogsys.2010.12.002","volume":"12","author":"U Schmid","year":"2011","unstructured":"Schmid, U., Kitzelmann, E.: Inductive rule learning on the knowledge level. Cogn. Syst. Res. 12(3\u20134), 237\u2013248 (2011)","journal-title":"Cogn. Syst. Res."},{"key":"16_CR13","unstructured":"Sleator, D.D., Temperley, D.: Parsing English with a link grammar. \narXiv: cmp-lg\/9508004\n\n (1995)"},{"key":"16_CR14","volume-title":"Constructing a Language: A Usage-Based Theory of Language Acquisition","author":"M Tomasello","year":"2003","unstructured":"Tomasello, M.: Constructing a Language: A Usage-Based Theory of Language Acquisition. Harvard University Press, Cambridge (2003)"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"Wang, Y.S., Yi Lee, H., Chen, Y.N.: Tree transformer: integrating tree structures into self-attention. In: EMNLP\/IJCNLP (2019)","DOI":"10.18653\/v1\/D19-1098"},{"key":"16_CR16","unstructured":"Wiedemann, G., Remus, S., Chawla, A., Biemann, C.: Does BERT make any sense? interpretable word sense disambiguation with contextualized embeddings. \narXiv:1909.10430\n\n [cs], October 2019"},{"key":"16_CR17","unstructured":"Wolf, T., et al.: Huggingface\u2019s transformers: State-of-the-art natural language processing. \narXiv:abs\/1910.03771\n\n (2019)"}],"container-title":["Lecture Notes in Computer Science","Artificial General Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-52152-3_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T16:07:20Z","timestamp":1594224440000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-52152-3_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030521516","9783030521523"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-52152-3_16","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 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial General Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"St. Petersburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","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":"16 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"agi2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/agi-conf.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"60","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":"30","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":"8","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":"50% - 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":"2.7","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":"4","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)"}},{"value":"The Program Committee decided to accept 22 long papers for oral presentation and 17 papers for a poster presentation. One author did not hand in his final paper.","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)"}}]}}