{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T05:19:14Z","timestamp":1790745554543,"version":"4.1.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030535179","type":"print"},{"value":"9783030535186","type":"electronic"}],"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\/978-3-030-53518-6_23","type":"book-chapter","created":{"date-parts":[[2020,7,17]],"date-time":"2020-07-17T15:17:50Z","timestamp":1594999070000},"page":"309-314","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Guiding Inferences in Connection Tableau by Recurrent Neural Networks"],"prefix":"10.1007","author":[{"given":"Bartosz","family":"Piotrowski","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josef","family":"Urban","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,7,17]]},"reference":[{"key":"23_CR1","first-page":"785","volume":"2016","author":"T Chen","year":"2016","unstructured":"Chen, T., Guestrin, C.: XGboost: a scalable tree boosting system. ACM SIGKDD 2016, 785\u2013794 (2016)","journal-title":"ACM SIGKDD"},{"key":"23_CR2","first-page":"1724","volume":"2014","author":"K Cho","year":"2014","unstructured":"Cho, K., van Merrienboer, B., G\u00fcl\u00e7ehre, \u00c7., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. EMNLP 2014, 1724\u20131734 (2014)","journal-title":"EMNLP"},{"key":"23_CR3","first-page":"197","volume":"27","author":"K Chvalovsk\u00fd","year":"2019","unstructured":"Chvalovsk\u00fd, K., Jakubuv, J., Suda, M., Urban, J.: ENIGMA-NG: efficient neural and gradient-boosted inference guidance for E. CADE 27, 197\u2013215 (2019)","journal-title":"CADE"},{"key":"23_CR4","unstructured":"Evans, R., Saxton, D., Amos, D., Kohli, P., Grefenstette, E.: Can neural networks understand logical entailment? In: ICLR 2018 (2018)"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Freitag, M., Al-Onaizan, Y.: Beam search strategies for neural machine translation. In: NMT@ACL 2017, pp. 56\u201360 (2017)","DOI":"10.18653\/v1\/W17-3207"},{"key":"23_CR6","unstructured":"Gauthier, T.: Deep reinforcement learning for synthesizing functions in higher-order logic. CoRR (2019). http:\/\/arxiv.org\/abs\/1910.11797"},{"issue":"2","key":"23_CR7","first-page":"153","volume":"3","author":"A Grabowski","year":"2010","unstructured":"Grabowski, A., Kornilowicz, A., Naumowicz, A.: Mizar in a nutshell. J. Formalized Reasoning 3(2), 153\u2013245 (2010)","journal-title":"J. Formalized Reasoning"},{"key":"23_CR8","unstructured":"Kaliszyk, C., Chollet, F., Szegedy, C.: Holstep: a machine learning dataset for higher-order logic theorem proving. In: ICLR 2017 (2017)"},{"key":"23_CR9","first-page":"8836","volume":"2018","author":"C Kaliszyk","year":"2018","unstructured":"Kaliszyk, C., Urban, J., Michalewski, H., Ols\u00e1k, M.: Reinforcement learning of theorem proving. NeurIPS 2018, 8836\u20138847 (2018)","journal-title":"NeurIPS"},{"key":"23_CR10","unstructured":"Lample, G., Charton, F.: Deep learning for symbolic mathematics. CoRR (2019). http:\/\/arxiv.org\/abs\/1912.01412"},{"key":"23_CR11","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/BF00881947","volume":"13","author":"R Letz","year":"1994","unstructured":"Letz, R., Mayr, K., Goller, C.: Controlled integration of the cut rule into connection tableau calculi. J. Autom. Reasoning 13, 297\u2013337 (1994)","journal-title":"J. Autom. Reasoning"},{"key":"23_CR12","unstructured":"Luong, M., Brevdo, E., Zhao, R.: Neural machine translation (seq2seq) tutorial (2017). https:\/\/github.com\/tensorflow\/nmt"},{"issue":"1\u20132","key":"23_CR13","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/S0747-7171(03)00037-3","volume":"36","author":"J Otten","year":"2003","unstructured":"Otten, J., Bibel, W.: leanCoP: lean connection-based theorem proving. J. Symb. Comput. 36(1\u20132), 139\u2013161 (2003)","journal-title":"J. Symb. Comput."},{"key":"23_CR14","unstructured":"Piotrowski, B., Urban, J., Brown, C.E., Kaliszyk, C.: Can neural networks learn symbolic rewriting? CoRR (2019). https:\/\/arxiv.org\/pdf\/1911.04873.pdf"},{"issue":"1\u20132","key":"23_CR15","first-page":"21","volume":"37","author":"J Urban","year":"2006","unstructured":"Urban, J.: MPTP 0.2: Design, implementation, and initial experiments. J. Autom. Reasoning 37(1\u20132), 21\u201343 (2006)","journal-title":"J. Autom. Reasoning"},{"key":"23_CR16","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/978-3-319-96812-4_22","volume-title":"Intelligent Computer Mathematics","author":"Q Wang","year":"2018","unstructured":"Wang, Q., Kaliszyk, C., Urban, J.: First experiments with neural translation of informal to formal mathematics. In: Rabe, F., Farmer, W.M., Passmore, G.O., Youssef, A. (eds.) CICM 2018. LNCS (LNAI), vol. 11006, pp. 255\u2013270. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-96812-4_22"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computer Mathematics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-53518-6_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T23:19:33Z","timestamp":1619219973000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-53518-6_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030535179","9783030535186"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-53518-6_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"17 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computer Mathematics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bertinoro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"26 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 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":"mkm2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.cicm-conference.org\/2020\/cicm.php","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":"35","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":"15","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":"9","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":"43% - 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":"3-4","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":"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)"}}]}}