{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:47:17Z","timestamp":1743126437639,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031483110"},{"type":"electronic","value":"9783031483127"}],"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\/978-3-031-48312-7_29","type":"book-chapter","created":{"date-parts":[[2023,11,21]],"date-time":"2023-11-21T20:03:21Z","timestamp":1700597001000},"page":"357-366","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Developing a Question Answering System on the Material of Holocaust Survivors\u2019 Testimonies in Russian"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7654-9612","authenticated-orcid":false,"given":"Liudmila","family":"Bukreeva","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1753-9904","authenticated-orcid":false,"given":"Daria","family":"Guseva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4344-2330","authenticated-orcid":false,"given":"Mikhail","family":"Dolgushin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9742-5299","authenticated-orcid":false,"given":"Vera","family":"Evdokimova","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1045-575X","authenticated-orcid":false,"given":"Vasilisa","family":"Obotnina","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,22]]},"reference":[{"key":"29_CR1","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1016\/j.procs.2015.12.005","volume":"73","author":"A Bouziane","year":"2015","unstructured":"Bouziane, A., Bouchiha, D., Doumi, N., Malki, M.: Question answering systems: survey and trends. Procedia Comput. Sci. 73, 366\u2013375 (2015). https:\/\/doi.org\/10.1016\/j.procs.2015.12.005","journal-title":"Procedia Comput. Sci."},{"key":"29_CR2","doi-asserted-by":"publisher","unstructured":"Abrams, L.: Oral History Theory. Routledge, London (2016). https:\/\/doi.org\/10.4324\/978131564076","DOI":"10.4324\/978131564076"},{"key":"29_CR3","unstructured":"USC Shoah Foundation. https:\/\/sfi.usc.edu\/. Accessed 22 Sept 2023"},{"key":"29_CR4","unstructured":"YouTube playlist of Holocaust survivors testimonies by Yad Vashem foundation. https:\/\/www.youtube.com\/playlist?list=PLanQ0TFmIYBTV8sRAkSDWQLZNhbM-v1xp"},{"key":"29_CR5","doi-asserted-by":"publisher","unstructured":"Picheny, M., T\u00fcske, Z., Kingsbury, B., Audhkhasi, K., Cui, X., Saon, G.: Challenging the boundaries of speech recognition: the MALACH corpus. In: Interspeech 2019, pp. 326\u2013330 (2019). https:\/\/doi.org\/10.21437\/Interspeech.2019-1907","DOI":"10.21437\/Interspeech.2019-1907"},{"key":"29_CR6","doi-asserted-by":"publisher","unstructured":"Psutka, J.V., Pra\u017e\u00e1k, A., Van\u011bk, J.: Recognition of heavily accented and emotional speech of English and Czech Holocaust survivors using various DNN\u00a0Architectures. In: Karpov, A., Potapova, R. (eds.) SPECOM 2021. LNCS, vol. 12997, pp. 553\u2013564. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87802-3_50","DOI":"10.1007\/978-3-030-87802-3_50"},{"key":"29_CR7","doi-asserted-by":"publisher","unstructured":"Ch\u00fdlek, A., \u0160vec, J., \u0160m\u00eddl, L.: Initial experiments on question answering from the intrinsic structure of\u00a0oral history archives. In: Karpov, A., Potapova, R. (eds.) SPECOM 2021. LNCS, vol. 12997, pp. 124\u2013133. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87802-3_12","DOI":"10.1007\/978-3-030-87802-3_12"},{"key":"29_CR8","unstructured":"Project MALACH \u2013 Multilingual Access to Large Spoken Archives. https:\/\/malach.umiacs.umd.edu\/"},{"key":"29_CR9","doi-asserted-by":"publisher","unstructured":"Byrne, W., et al.: Automatic recognition of spontaneous speech for access to multilingual oral history archives. IEEE Trans. Speech Audio Process. 12(4), 420\u2013435 (2004). https:\/\/doi.org\/10.1109\/TSA.2004.828702","DOI":"10.1109\/TSA.2004.828702"},{"key":"29_CR10","doi-asserted-by":"publisher","unstructured":"Mihajlik, P., Fegy\u00f3, T., N\u00e9meth, B., T\u00fcske, Z., Tr\u00f3n, V.: Towards automatic transcription of large spoken archives in agglutinating languages \u2013 Hungarian ASR for the MALACH project. In: Matou\u0161ek, V., Mautner, P. (eds.) TSD 2007. LNCS, vol. 4629, pp. 342\u2013349. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-74628-7_45","DOI":"10.1007\/978-3-540-74628-7_45"},{"key":"29_CR11","doi-asserted-by":"publisher","unstructured":"Psutka, J., Ircing, P., Psutka, J.V., Haji\u010d, J., Byrne, W., M\u00edrovsk\u00fd, J.: Automatic transcription of Czech, Russian and Slovak spontaneous speech in the MALACH project. In: Eurospeech 2005, pp. 1349\u20131352. ISCA (2005). https:\/\/doi.org\/10.21437\/Interspeech.2005-489","DOI":"10.21437\/Interspeech.2005-489"},{"key":"29_CR12","doi-asserted-by":"publisher","unstructured":"Ramabhadran, B., Huang, J., Picheny, M.: Towards automatic transcription of large spoken archives - English ASR for the MALACH project. In: ICASSP 2003, p. I (2003). https:\/\/doi.org\/10.1109\/ICASSP.2003.1198756","DOI":"10.1109\/ICASSP.2003.1198756"},{"key":"29_CR13","doi-asserted-by":"publisher","unstructured":"Ramabhadran, B., et al.: USC-SFI MALACH interviews and transcripts English. In: LDC2012S05. Web Download. Philadelphia: Linguistic Data Consortium (2012). https:\/\/doi.org\/10.35111\/7zfn-a492","DOI":"10.35111\/7zfn-a492"},{"key":"29_CR14","doi-asserted-by":"publisher","unstructured":"Psutka, J., Radov\u00e1, V., Ircing, P., Matou\u0161ek, J., M\u00fcller, L.: USC-SFI MALACH interviews and transcripts Czech. In: LDC2014S04. Web Download. Linguistic Data Consortium, Philadelphia (2014). https:\/\/doi.org\/10.35111\/v2nt-7j09","DOI":"10.35111\/v2nt-7j09"},{"key":"29_CR15","doi-asserted-by":"publisher","unstructured":"Ch\u00fdlek, A., \u0160m\u00eddl, L., \u0160vec, J.: Question-answering dialog system for large audiovisual archives. In: Ek\u0161tein, K. (ed.) TSD 2019. LNCS, vol. 11697, pp. 385\u2013397. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-27947-9_33","DOI":"10.1007\/978-3-030-27947-9_33"},{"key":"29_CR16","doi-asserted-by":"publisher","unstructured":"Efimov, P., Chertok, A., Boytsov, L., Braslavski, P.: SberQuAD \u2013 Russian reading comprehension dataset: description and analysis. In: Arampatzis, A.,\u00a0et al. (eds.) CLEF 2020. LNCS, vol. 12260, pp. 3\u201315. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58219-7_1","DOI":"10.1007\/978-3-030-58219-7_1"},{"key":"29_CR17","doi-asserted-by":"publisher","unstructured":"Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: SQuAD: 100,000+ questions for machine comprehension of text. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, November, pp. 2383\u20132392. Association for Computational Linguistics (2016). https:\/\/doi.org\/10.48550\/arXiv.1606.05250","DOI":"10.48550\/arXiv.1606.05250"},{"key":"29_CR18","doi-asserted-by":"publisher","unstructured":"Rajpurkar, P., Jia, R., Liang, P.: Know what you don\u2019t know: unanswerable questions for SQuAD. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Melbourne, Australia, pp. 784\u2013789. Association for Computational Linguistics (2018). https:\/\/doi.org\/10.18653\/v1\/P18-2124","DOI":"10.18653\/v1\/P18-2124"},{"key":"29_CR19","doi-asserted-by":"publisher","unstructured":"Pisarevskaya, D., Shavrina, T.: WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia. In: Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM), Abu Dhabi, United Arab Emirates (Hybrid), pp. 125\u2013135. Association for Computational Linguistics (2022). https:\/\/doi.org\/10.18653\/v1\/2022.gem-1.10","DOI":"10.18653\/v1\/2022.gem-1.10"},{"key":"29_CR20","unstructured":"Morphological analyzer pymorphy2. https:\/\/pymorphy2.readthedocs.io"},{"key":"29_CR21","unstructured":"NLTK documentation. https:\/\/www.nltk.org"},{"key":"29_CR22","unstructured":"Kolesnikova, A., Kuratov, Y., Konovalov, V., Burtsev, M.: Knowledge distillation of Russian language models with reduction of vocabulary. In: Proceedings of the International Conference \u00abDialogue 2022\u00bb, Moscow, 15\u201318 June 2022. Computational Linguistics and Intellectual Technologies, vol. 21, pp. 295\u2013310 (2022). https:\/\/www.dialog-21.ru\/media\/5770\/kolesnikovaaplusetal036.pdf. ISBN 978-5-7281-3205-9"},{"key":"29_CR23","doi-asserted-by":"publisher","unstructured":"Wolf, T., Debut, L., Sanh, V., et al.: Transformers: state-of-the-art natural language processing. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pp. 38\u201345. Association for Computational Linguistics (2020). https:\/\/doi.org\/10.18653\/v1\/2020.emnlp-demos.6","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"29_CR24","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter (2019). arXiv arXiv:1910.01108. https:\/\/arxiv.org\/abs\/1910.01108"},{"key":"29_CR25","unstructured":"Kuratov, Y., Arkhipov, M.: Adaptation of deep bidirectional multilingual transformers for Russian language, arXiv preprint (2019). arXiv:1905.07213. https:\/\/arxiv.org\/abs\/1905.07213"},{"key":"29_CR26","unstructured":"Question Answering, HuggingFace documentation. https:\/\/huggingface.co\/docs\/transformers\/tasks\/question_answering"},{"key":"29_CR27","unstructured":"RuOHQA dataset on HuggingFace. https:\/\/huggingface.co\/datasets\/Mihaj\/ruohqa_demo"}],"container-title":["Lecture Notes in Computer Science","Speech and Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-48312-7_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,21]],"date-time":"2023-11-21T20:07:25Z","timestamp":1700597245000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-48312-7_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031483110","9783031483127"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-48312-7_29","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 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SPECOM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Speech and Computer","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dharwad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"29 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"specom2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iitdh.ac.in\/specom-2023\/","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":"174","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":"94","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":"54% - 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":"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)"}}]}}