{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:10:33Z","timestamp":1743005433788,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031282379"},{"type":"electronic","value":"9783031282386"}],"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\/978-3-031-28238-6_48","type":"book-chapter","created":{"date-parts":[[2023,3,16]],"date-time":"2023-03-16T17:03:18Z","timestamp":1678986198000},"page":"571-579","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Consumer Health Question Answering Using Off-the-Shelf Components"],"prefix":"10.1007","author":[{"given":"Alexander","family":"Pugachev","sequence":"first","affiliation":[]},{"given":"Ekaterina","family":"Artemova","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1678-0094","authenticated-orcid":false,"given":"Alexander","family":"Bondarenko","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6964-458X","authenticated-orcid":false,"given":"Pavel","family":"Braslavski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,17]]},"reference":[{"key":"48_CR1","doi-asserted-by":"crossref","unstructured":"Abualsaud, M., et al.: UWaterlooMDS at the TREC 2021 health misinformation track. In: Proceedings of the Thirtieth REtrieval Conference Proceedings (TREC 2021). National Institute of Standards and Technology (NIST), Special Publication (2021)","DOI":"10.6028\/NIST.SP.500-335.misinfo-UWaterlooMDS"},{"key":"48_CR2","doi-asserted-by":"crossref","unstructured":"Abualsaud, M., Lioma, C., Maistro, M., Smucker, M.D., Zuccon, G.: Overview of the TREC 2019 decision track. In: Proceedings of the Twenty-Eigth Text REtrieval Conference (TREC 2019) (2019)","DOI":"10.6028\/NIST.SP.1250.decisions-UWaterlooMDS"},{"issue":"1","key":"48_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cmpb.2009.10.003","volume":"99","author":"SJ Athenikos","year":"2010","unstructured":"Athenikos, S.J., Han, H.: Biomedical question answering: a survey. Comput. Methods Program. Biomed. 99(1), 1\u201324 (2010)","journal-title":"Comput. Methods Program. Biomed."},{"key":"48_CR4","unstructured":"Bhattacharya, S., Tran, H., Srinivasan, P.: Discovering health beliefs in Twitter. In: Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, Papers from the 2012 AAAI Fall Symposium. AAAI Technical Report, vol. FS-12-05. AAAI (2012)"},{"key":"48_CR5","doi-asserted-by":"crossref","unstructured":"Bondarenko, A., et al.: Webis at TREC 2021: deep learning, health misinformation, and podcasts tracks. In: The Thirtieth REtrieval Conference Proceedings (TREC 2021). National Institute of Standards and Technology (NIST), Special Publication (2021)","DOI":"10.6028\/NIST.SP.500-335.misinfo-Webis"},{"key":"48_CR6","doi-asserted-by":"crossref","unstructured":"Bondarenko, A., Shirshakova, E., Driker, M., Hagen, M., Braslavski, P.: Misbeliefs and biases in health-related searches. In: Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), pp. 2894\u20132899. ACM (2021)","DOI":"10.1145\/3459637.3482141"},{"key":"48_CR7","unstructured":"Burges, C.J.: From RankNet to LambdaRank to LambdaMART: an overview. Technical Report, Microsoft Research Technical Report MSR-TR-2010-82 (2010)"},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Clark, C., Lee, K., Chang, M.W., Kwiatkowski, T., Collins, M., Toutanova, K.: BoolQ: exploring the surprising difficulty of natural yes\/no questions. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2924\u20132936 (2019)","DOI":"10.18653\/v1\/N19-1300"},{"key":"48_CR9","doi-asserted-by":"crossref","unstructured":"Clarke, C.L.A., Maistro, M., Smucker, M.D.: Overview of the TREC 2021 health misinformation track. In: Proceedings of the Thirtieth Text REtrieval Conference, TREC 2021. NIST Special Publication, (NIST) (2021)","DOI":"10.6028\/NIST.SP.500-335.misinfo-overview"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Clarke, C.L.A., Rizvi, S., Smucker, M.D., Maistro, M., Zuccon, G.: Overview of the TREC 2020 health misinformation track. In: Proceedings of the Twenty-Ninth Text REtrieval Conference, TREC 2020. NIST Special Publication, (NIST) (2020)","DOI":"10.6028\/NIST.SP.1266.misinfo-overview"},{"issue":"2","key":"48_CR11","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1093\/jamia\/ocz152","volume":"27","author":"D Demner-Fushman","year":"2019","unstructured":"Demner-Fushman, D., Mrabet, Y., Ben Abacha, A.: Consumer health information and question answering: helping consumers find answers to their health-related information needs. J. Am. Med. Inf. Assoc. 27(2), 194\u2013201 (2019)","journal-title":"J. Am. Med. Inf. Assoc."},{"key":"48_CR12","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171\u20134186. Association for Computational Linguistics (2019)"},{"issue":"6","key":"48_CR13","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1177\/0033354919874074","volume":"134","author":"LJ Finney Rutten","year":"2019","unstructured":"Finney Rutten, L.J., Blake, K.D., Greenberg-Worisek, A.J., Allen, S.V., Moser, R.P., Hesse, B.W.: Online health information seeking among US adults: measuring progress toward a healthy people 2020 objective. Public Health Rep. 134(6), 617\u2013625 (2019)","journal-title":"Public Health Rep."},{"issue":"8","key":"48_CR14","doi-asserted-by":"publisher","first-page":"e2005343","DOI":"10.1371\/journal.pbio.2005343","volume":"16","author":"N Fiorini","year":"2018","unstructured":"Fiorini, N., et al.: Best match: new relevance search for PubMed. PLoS Biol. 16(8), e2005343 (2018)","journal-title":"PLoS Biol."},{"key":"48_CR15","first-page":"1","volume":"2013","author":"S Fox","year":"2013","unstructured":"Fox, S., Duggan, M.: Health online 2013. Health 2013, 1\u201355 (2013)","journal-title":"Health"},{"key":"48_CR16","unstructured":"Fr\u00f6be, M., G\u00fcnther, S., Bondarenko, A., Huck, J., Hagen, M.: Using keyqueries to reduce misinformation in health-related search results. In: Proceedings of the 2nd Workshop Reducing Online Misinformation through Credible Information Retrieval 2022 co-located with The 44th European Conference on Information Retrieval ECIR 2022. CEUR Workshop Proceedings, vol. 3138, pp. 1\u201310. CEUR-WS.org (2022)"},{"issue":"1","key":"48_CR17","first-page":"1","volume":"3","author":"Y Gu","year":"2021","unstructured":"Gu, Y., et al.: Domain-specific language model pretraining for biomedical natural language processing. ACM Trans. Comput. Healthcare (HEALTH) 3(1), 1\u201323 (2021)","journal-title":"ACM Trans. Comput. Healthcare (HEALTH)"},{"key":"48_CR18","doi-asserted-by":"crossref","unstructured":"Jin, Q., Dhingra, B., Liu, Z., Cohen, W., Lu, X.: PubMedQA: a dataset for biomedical research question answering. 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. 2567\u20132577 (2019)","DOI":"10.18653\/v1\/D19-1259"},{"issue":"2","key":"48_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3490238","volume":"55","author":"Q Jin","year":"2022","unstructured":"Jin, Q., et al.: Biomedical question answering: a survey of approaches and challenges. ACM Comput. Surv. (CSUR) 55(2), 1\u201336 (2022)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"1","key":"48_CR20","doi-asserted-by":"publisher","first-page":"012050","DOI":"10.1088\/1742-6596\/1740\/1\/012050","volume":"1740","author":"P Kostenetskiy","year":"2021","unstructured":"Kostenetskiy, P., Chulkevich, R., Kozyrev, V.: HPC resources of the higher school of economics. J. Phys. Conf. Ser. 1740(1), 012050 (2021)","journal-title":"J. Phys. Conf. Ser."},{"issue":"4","key":"48_CR21","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1197\/jamia.M3059","volume":"16","author":"MR Laurent","year":"2009","unstructured":"Laurent, M.R., Vickers, T.J.: Seeking health information online: does Wikipedia matter? J. Am. Med. Inf. Assoc. 16(4), 471\u2013479 (2009)","journal-title":"J. Am. Med. Inf. Assoc."},{"key":"48_CR22","unstructured":"Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692 (2019)"},{"issue":"3","key":"48_CR23","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1016\/j.annemergmed.2019.07.003","volume":"75","author":"T Morshed","year":"2020","unstructured":"Morshed, T., Hayden, S.: Google versus PubMed: comparison of google and PubMed\u2019s Search tools for answering clinical questions in the emergency department. Ann. Emerg. Med. 75(3), 408\u2013415 (2020)","journal-title":"Ann. Emerg. Med."},{"key":"48_CR24","unstructured":"National Center for Biotechnology Information (US), Bethesda (MD): Entrez Programming Utilities Help (2010)"},{"key":"48_CR25","doi-asserted-by":"crossref","unstructured":"Nentidis, A., Bougiatiotis, K., Krithara, A., Paliouras, G.: Results of the seventh edition of the BioASQ challenge. in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 553\u2013568 (2020)","DOI":"10.1007\/978-3-030-43887-6_51"},{"issue":"2","key":"48_CR26","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1561\/1500000001","volume":"1","author":"J Prager","year":"2007","unstructured":"Prager, J.: Open-domain question answering. Found. Trends Inf. Retrieval 1(2), 91\u2013231 (2007)","journal-title":"Found. Trends Inf. Retrieval"},{"key":"48_CR27","unstructured":"Schlicht, I.B., de Paula, A.F.M., Rosso, P.: UPV at TREC health misinformation track 2021 ranking with SBERT and quality estimators. CoRR abs\/2112.06080 (2021)"},{"issue":"2","key":"48_CR28","doi-asserted-by":"publisher","first-page":"e0228786","DOI":"10.1371\/journal.pone.0228786","volume":"15","author":"DA Smith","year":"2020","unstructured":"Smith, D.A.: Situating Wikipedia as a health information resource in various contexts: a scoping review. PloS One 15(2), e0228786 (2020)","journal-title":"PloS One"},{"issue":"1","key":"48_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-015-0564-6","volume":"16","author":"G Tsatsaronis","year":"2015","unstructured":"Tsatsaronis, G., et al.: An overview of the BioASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinf. 16(1), 1\u201328 (2015)","journal-title":"BMC Bioinf."},{"key":"48_CR30","doi-asserted-by":"crossref","unstructured":"White, R.: Beliefs and biases in web search. In: Jones, G.J.F., Sheridan, P., Kelly, D., de Rijke, M., Sakai, T. (eds.) Proceedings of the 36th International Conference on Research and Development in Information Retrieval (SIGIR 2013), pp. 3\u201312. ACM (2013)","DOI":"10.1145\/2484028.2484053"},{"issue":"4","key":"48_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2663355","volume":"8","author":"RW White","year":"2014","unstructured":"White, R.W., Hassan, A.: Content bias in online health search. ACM Trans. Web (TWEB) 8(4), 1\u201333 (2014)","journal-title":"ACM Trans. Web (TWEB)"},{"key":"48_CR32","doi-asserted-by":"crossref","unstructured":"Yasunaga, M., Leskovec, J., Liang, P.: LinkBERT: pretraining language models with document links. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 8003\u20138016 (2022)","DOI":"10.18653\/v1\/2022.acl-long.551"},{"key":"48_CR33","doi-asserted-by":"crossref","unstructured":"Zhang, B., Naderi, N., Jaume-Santero, F., Teodoro, D.: DS4DH at TREC health misinformation 2021: multi-dimensional ranking models with transfer learning and rank fusion. arXiv preprint arXiv:2202.06771 (2022)","DOI":"10.6028\/NIST.SP.500-335.misinfo-DigiLab"},{"key":"48_CR34","doi-asserted-by":"crossref","unstructured":"Zhang, D., Tahami, A.V., Abualsaud, M., Smucker, M.D.: Learning trustworthy web sources to derive correct answers and reduce health misinformation in search. In: Proceedings of the 45th International Conference on Research and Development in Information Retrieval (SIGIR 2022), pp. 2099\u20132104. ACM (2022)","DOI":"10.1145\/3477495.3531812"},{"key":"48_CR35","unstructured":"Zhu, F., Lei, W., Wang, C., Zheng, J., Poria, S., Chua, T.S.: Retrieving and reading: a comprehensive survey on open-domain question answering. arXiv preprint arXiv:2101.00774 (2021)"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28238-6_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T15:11:20Z","timestamp":1729091480000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28238-6_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031282379","9783031282386"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28238-6_48","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":"17 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dublin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ireland","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":"2 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"45","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2023.org\/index.html?v=1.0","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":"489","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":"77","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":"83","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":"16% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}