{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T15:35:34Z","timestamp":1764084934524,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030583224"},{"type":"electronic","value":"9783030583231"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/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":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58323-1_12","type":"book-chapter","created":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T13:48:44Z","timestamp":1599140924000},"page":"112-121","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Employing Sentence Context in Czech Answer Selection"],"prefix":"10.1007","author":[{"given":"Marek","family":"Medve\u010f","sequence":"first","affiliation":[]},{"given":"Radoslav","family":"Sabol","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6348-109X","authenticated-orcid":false,"given":"Ale\u0161","family":"Hor\u00e1k","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,1]]},"reference":[{"key":"12_CR1","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."},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Bromley, J., Guyon, I., LeCun, Y., S\u00e4ckinger, E., Shah, R.: Signature verification using a \u201cSiamese\u201d time delay neural network. In: Advances in Neural Information Processing Systems, pp. 737\u2013744 (1994)","DOI":"10.1142\/9789812797926_0003"},{"key":"12_CR3","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the NAACL 2019, Volume 1 (Long and Short Papers), pp. 4171\u20134186 (2019)"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Lai, G., Xie, Q., Liu, H., Yang, Y., Hovy, E.: Race: large-scale reading comprehension dataset from examinations. arXiv preprint arXiv:1704.04683 (2017)","DOI":"10.18653\/v1\/D17-1082"},{"key":"12_CR5","unstructured":"Lan, Z., Chen, M., Goodman, S., Gimpel, K., Sharma, P., Soricut, R.: Albert: a lite bert for self-supervised learning of language representations. arXiv preprint arXiv:1909.11942 (2019)"},{"key":"12_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1007\/978-3-319-45510-5_31","volume-title":"Text, Speech, and Dialogue","author":"M Medved\u030c","year":"2016","unstructured":"Medved\u030c, M., Hor\u00e1k, A.: AQA: automatic question answering system for Czech. In: Sojka, P., Hor\u00e1k, A., Kope\u010dek, I., Pala, K. (eds.) TSD 2016. LNCS (LNAI), vol. 9924, pp. 270\u2013278. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45510-5_31"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Medved\u030c, M., Hor\u00e1k, A.: Sentence and word embedding employed in open question-answering. In: Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018), Set\u00fabal, Portugal, pp. 486\u2013492. SCITEPRESS - Science and Technology Publications (2018)","DOI":"10.5220\/0006595904860492"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Medved\u030c, M., Hor\u00e1k, A., Ku\u0161nir\u00e1kov\u00e1, D.: Question and answer classification in czech question answering benchmark dataset. In: Proceedings of the 11th International Conference on Agents and Artificial Intelligence, Prague, Czech Republic, vol. 2, pp. 701\u2013706. SCITEPRESS (2019)","DOI":"10.5220\/0007396907010706"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Medved\u030c, M., Sabol, R., Hor\u00e1k, A.: Improving RNN-based answer selection for morphologically rich languages. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020), Valleta, Malta, pp. 644\u2013651. SCITEPRESS - Science and Technology Publications (2020)","DOI":"10.5220\/0008979206440651"},{"issue":"8","key":"12_CR10","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"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Rajpurkar, P., Jia, R., Liang, P.: Know what you don\u2019t know: unanswerable questions for SQuAD. In: Proceedings of the ACL 2018 (Volume 2: Short Papers), Melbourne, Australia, pp. 784\u2013789. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/P18-2124"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: Squad: 100, 000+ questions for machine comprehension of text. CoRR abs\/1606.05250 (2016)","DOI":"10.18653\/v1\/D16-1264"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Rao, J., Liu, L., Tay, Y., Yang, W., Shi, P., Lin, J.: Bridging the gap between relevance matching and semantic matching for short text similarity modeling. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5373\u20135384 (2019)","DOI":"10.18653\/v1\/D19-1540"},{"key":"12_CR14","unstructured":"Sabol, R., Medved\u030c, M., Hor\u00e1k, A.: Czech question answering with extended SQAD v3.0 benchmark dataset. In: Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2019, pp. 99\u2013108 (2019)"},{"key":"12_CR15","unstructured":"dos Santos, C., Tan, M., Xiang, B., Zhou, B.: Attentive pooling networks. arXiv preprint arXiv:1602.03609 (2016)"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Shen, Y., et al.: Knowledge-aware attentive neural network for ranking question answer pairs. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 901\u2013904 (2018)","DOI":"10.1145\/3209978.3210081"},{"key":"12_CR17","unstructured":"Wang, M., Smith, N.A., Mitamura, T.: What is the jeopardy model? A quasi-synchronous grammar for QA. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 22\u201332 (2007)"},{"key":"12_CR18","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1162\/tacl_a_00290","volume":"7","author":"A Warstadt","year":"2019","unstructured":"Warstadt, A., Singh, A., Bowman, S.R.: Neural network acceptability judgments. Trans. Assoc. Comput. Linguist. 7, 625\u2013641 (2019)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"12_CR19","unstructured":"Yih, S.W., Chang, M.W., Meek, C., Pastusiak, A.: Question answering using enhanced lexical semantic models. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. ACL - Association for Computational Linguistics, August 2013"},{"key":"12_CR20","unstructured":"Zhang, Z., Yang, J., Zhao, H.: Retrospective reader for machine reading comprehension. arXiv preprint arXiv:2001.09694 (2020)"}],"container-title":["Lecture Notes in Computer Science","Text, Speech, and Dialogue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58323-1_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:43:35Z","timestamp":1709826215000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58323-1_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030583224","9783030583231"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58323-1_12","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":"1 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TSD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Text, Speech, and Dialogue","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brno","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","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":"8 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tsd2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.tsdconference.org\/tsd2020\/","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":"In-house","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"110","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":"54","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":"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)"}},{"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)"}}]}}